Multiple linear regression
The ASTA team
Example from last lecture
Crime data set
- The data are measurements from the 67 counties of Florida.
- Our focus is on
- The response \(y\):
Crime
which is the crime rate
- The predictor \(x_1\):
Education
which is proportion of the population with high school exam
- The predictor \(x_2\):
Urbanisation
which is proportion of the population living in urban areas
FL <- read.delim("https://asta.math.aau.dk/datasets?file=fl-crime.txt")
head(FL, n = 3)
## Crime Education Urbanisation
## 1 104 82.7 73.2
## 2 20 64.1 21.5
## 3 64 74.7 85.0
Multiple regression model for crime data
- Both
Education
(\(x_1\)) and Urbanisation
(\(x_2\)) were correlated with Crime
(\(y\)).
- We consider the model \[Y=\alpha + \beta_1x_1 + \beta_2x_2 + \epsilon\]
- The errors \(\epsilon\) are random terms with a \(\texttt{norm}(0,\sigma)\) distribution.
- The graph for the mean response is a 2-dimensional plane in a 3-dimensional space.
model <- lm(Crime ~ Education + Urbanisation, data = FL)
summary(model)
##
## Call:
## lm(formula = Crime ~ Education + Urbanisation, data = FL)
##
## Residuals:
## Min 1Q Median 3Q Max
## -34.693 -15.742 -6.226 15.812 50.678
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 59.1181 28.3653 2.084 0.0411 *
## Education -0.5834 0.4725 -1.235 0.2214
## Urbanisation 0.6825 0.1232 5.539 6.11e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.82 on 64 degrees of freedom
## Multiple R-squared: 0.4714, Adjusted R-squared: 0.4549
## F-statistic: 28.54 on 2 and 64 DF, p-value: 1.379e-09
- From the output we find the prediction equation \[ \widehat y = 59 - 0.58x_1 + 0.68x_2. \]
The general model
Regression model
- In a multiple regression we have
- a response variable \(Y\).
- \(k\) predictor variables \(x_1,x_2,\ldots,x_k\).
- Multiple regression model: \[Y=\alpha + \beta_1x_1 + \beta_2x_2 + \dotsm + \beta_kx_k + \epsilon.\]
- The systematic part of the model says that the mean response is a linear function of the predictors: \[ E(Y|x_1,x_2,\ldots,x_k)=\alpha + \beta_1x_1 + \beta_2x_2 + \dotsm + \beta_kx_k. \]
- Here \(E(Y|x_1,x_2,\ldots,x_k)\) is used to denote the mean value of the response when we know the value of the predictors \(x_1,\ldots,x_k\).
- The error \(\epsilon\) is a random variable having a distribution with
- a normal distribution
- mean 0
- standard deviation \(\sigma\)
Interpretation of parameters
- In the multiple linear regression model \[E(y|x_1,x_2,\ldots,x_k) = \alpha + \beta_1x_1 + \beta_2x_2 + \dotsm + \beta_kx_k\]
- The parameter \(\alpha\) is the
Intercept
, corresponding to the mean response, when all predictors are equal to zero.
- The parameters \((\beta_1,\beta_2,\dotsm,\beta_k)\) are called partial regression coefficients.
- Imagine that all predictors but \(x_1\) are held fixed. Then \[E(y|x_1,x_2,\ldots,x_k) = \tilde{\alpha} + \beta_1x_1, \] where \[
\tilde\alpha = \alpha + \beta_2 x_2 + \dotsm + \beta_k x_k.
\]
- So the mean response depends linearly on \(x_1\) when all other variables are kept fixed.
- The line has slope \(\beta_1\), which describes the change in the mean response, when \(x_1\) is changed one unit.
- The rate of change \(\beta_1\) does not depend on the value of the remaining predictors. In this case we say that there is no interaction between the effects of the predictors on the response.
- The above holds similarly for the other partial regression coefficients.
Estimation
Estimation of model parameters
- Suppose we have a sample of size \(n\).
- Based on the sample, we estimate \((\alpha,\beta_1,\beta_2,\ldots,\beta_k)\) by the values \((a,b_1,b_2,\ldots,b_k)\).
- Based on this estimate we obtain the prediction equation (or regression equation) as \[
\widehat y=a + b_1x_1 + b_2x_2 + \dotsm + b_kx_k
\]
- The difference between our observations and the predictions made by the prediction equation are called the residuals \(e_i=y_i-\widehat{y_i}\).
- The estimates \((a,b_1,b_2,\ldots,b_k)\) are chosen by the least squares method, which seeks to minimize the sum of squared residuals \[\sum_{i=1}^n(y_i-\widehat{y}_i)^2.\]
Estimation of error variance
- Recall that \(\sigma^2\) is the variance of the error terms in the model. Using the residuals as approximations of the errors in our sample, we estimate \(\sigma^2\) by \[s^2 = \frac{\sum_{i=1}^n(y_i-\widehat{y}_i)^2}{n-k-1}.\]
- Rather than \(n\) we divide by the degrees of freedom \(df=n-k-1\). Theory shows, that this is reasonable.
- The degrees of freedom \(df\) are determined by the sample size \(n\) minus the number of parameters in the regression equation.
- Currently we have \(k+1\) parameters: \(1\) intercept and \(k\) slopes.
Multiple R-squared
Multiple \(R^2\)
- We can compare two models to predict the response \(y\).
- Model 1: We do not use the predictors, and use \(\bar y\) to predict any \(y\)-measurement. The corresponding sum of squared prediction errors is
- \(TSS = \sum_{i=1}^n(y_i - \bar y)^2\) and is called the Total Sum of Squares.
- Model 2: We use the multiple prediction equation with predictors \(x_1,\ldots,x_k\) to predict \(y\). The sum of squared prediction errors is now
- \(SSE=\sum_{i=1}^n(y_i - \widehat y_i)^2\) and is called Sum of Squared Errors.
- We then define the multiple coefficient of determination \[R^2 = \frac{TSS - SSE}{TSS}.\]
- Thus, \(R^2\) is the relative reduction in squared prediction errors, when we use \(x_1,x_2,\ldots,x_k\) as explanatory variables.
- We say that \(R^2\) is the proportion of the total variation in the data that can be explained by \(x_1,\ldots,x_k\).
- Properties:
- \(0\leq R^2 \leq 1\)
- \(R^2=0\) means \(TSS=SSE\), so the model does not improve when we include \(x_1,\ldots,x_k\) in the model.
- \(R^2=1\) means \(SSE=0\), so the observations are predicted perfectly by \(x_1,\ldots,x_k\).
Example
##
## Call:
## lm(formula = Crime ~ Education + Urbanisation, data = FL)
##
## Residuals:
## Min 1Q Median 3Q Max
## -34.693 -15.742 -6.226 15.812 50.678
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 59.1181 28.3653 2.084 0.0411 *
## Education -0.5834 0.4725 -1.235 0.2214
## Urbanisation 0.6825 0.1232 5.539 6.11e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.82 on 64 degrees of freedom
## Multiple R-squared: 0.4714, Adjusted R-squared: 0.4549
## F-statistic: 28.54 on 2 and 64 DF, p-value: 1.379e-09
- The prediction equation is \(\widehat y=59 - 0.58x_1 + 0.68x_2\)
- The estimate for \(\sigma\) is \(s = 20.82\) (
Residual standard error
in R) with \(df = 67-3 = 64\) degrees of freedom.
- Multiple \(R^2 = 0.4714\), i.e. 47% of the variation in the response is explained by including the predictors in the model.
- The output provides a test of the hypothesis \(H_0: \beta_1 = 0\) corresponding to no effect of the predictor \(x_1\).
- The estimate \(b_1 = -0.5834\) has standard error (
Std. Error
) \(se = 0.4725\) with corresponding observed \(t\)-value (t value
) \(t_\text{obs} = \frac{-0.5834}{0.4725} = -1.235\).
- This means that \(b_1\) isn’t significantly different from zero, since the \(p\)-value (
Pr(>|t|)
) is 22%. That means that we can exclude Education
as a predictor.
Example
- Our final model is then a simple linear regression:
model2 <- lm(Crime ~ Urbanisation, data = FL)
summary(model2)
##
## Call:
## lm(formula = Crime ~ Urbanisation, data = FL)
##
## Residuals:
## Min 1Q Median 3Q Max
## -34.766 -16.541 -4.741 16.521 49.632
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 24.54125 4.53930 5.406 9.85e-07 ***
## Urbanisation 0.56220 0.07573 7.424 3.08e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.9 on 65 degrees of freedom
## Multiple R-squared: 0.4588, Adjusted R-squared: 0.4505
## F-statistic: 55.11 on 1 and 65 DF, p-value: 3.084e-10
- The coefficient of determination always decreases, when the model is simpler. Now we have \(R^2 = 46\%\), where before we had \(47\%\). But the decrease is not significant as we will see next.
F-test for comparing two models
We can compare two models, where one is obtained from the other by setting \(m\) parameters to zero, by an \(F\)-test.
We can compare \(R^2\) for the two models via the following \(F\)-statistic: \[
F_{obs} = \frac{(R_2^2-R_1^2)/(\text{df}_1-\text{df}_2)}{(1-R_2^2)/\text{df}_2}
\]
- \(R_2^2\) corresponds to the larger model and \(R_1^2\) corresponds to the smaller model.
- Large values of \(F_{obs}\) means that \(R_2^2\) is large compared to \(R_1^2\), pointing towards the alternative hypothesis.
- \(df1=m\) is the number of parameters set to zero in the null-hypothesis.
- \(df2=n-k-1\) where \(n\) is sample size and \(k+1\) is the number of unknown parameters in the larger model.
In R the calculations are done using anova
:
## Analysis of Variance Table
##
## Model 1: Crime ~ Urbanisation
## Model 2: Crime ~ Education + Urbanisation
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 65 28391
## 2 64 27730 1 660.61 1.5247 0.2214
Overall F-test for effect of predictors
F-test
- We consider the hypothesis \[H_0: \beta_1=\beta_2=\ldots=\beta_k=0\] against the alternative that at least one \(\beta_i\) are non-zero.
- This is the hypothesis that there is no effect of any of the predictors.
- As test statistic we use \[F_{obs}=\frac{(n-k-1)R^2}{k(1-R^2)}\]
- Large values of \(R^2\) implies large values of \(F_{obs}\), which points to the alternative hypothesis.
- Thus, the p-value is the probability of observing something larger than the computed \(F_{obs}\).
- The distribution of \(F_{obs}\) under the null-hypothesis is an F-distribution with degrees of freedom
- \(df_1=k\) (the number of parameters set to zero in the null-hypothesis).
- \(df_2=n-k-1\) (number of observations minus number of unknown parameters in the model).
Example
- We return to
Crime
and the prediction equation \(\widehat y = 59 - 0.58x_1 + 0.68x_2\), where \(n=67\) and \(R^2=0.4714\).
- We test the hypothesis \(H_0:\beta_1 = \beta_2 =0\). We have
- \(df_1=k=2\) since 2 parameters are set to zero under \(H_0\).
- \(df_2=n-k-1=67-2-1=64\).
- Then we can calculate \(F_{obs} = \frac{(n-k-1)R^2}{k(1-R^2)} = 28.54\)
- To evaluate the value \(28.54\) in the relevant F-distribution:
1 - pdist("f", 28.54, df1=2, df2=64)
![](data:image/png;base64,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)
## [1] 1.378612e-09
- So \(p\)-value=\(1.38\times 10^{-9}\) (notice we don’t multiply by 2 since this is a one-sided test; only large values point more towards the alternative than the null hypothesis).
- All this can be found in the summary output we already have:
##
## Call:
## lm(formula = Crime ~ Education + Urbanisation, data = FL)
##
## Residuals:
## Min 1Q Median 3Q Max
## -34.693 -15.742 -6.226 15.812 50.678
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 59.1181 28.3653 2.084 0.0411 *
## Education -0.5834 0.4725 -1.235 0.2214
## Urbanisation 0.6825 0.1232 5.539 6.11e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.82 on 64 degrees of freedom
## Multiple R-squared: 0.4714, Adjusted R-squared: 0.4549
## F-statistic: 28.54 on 2 and 64 DF, p-value: 1.379e-09
Interaction model
Interaction between effects of predictors
- Could it be possible that a combination of
Education
and Urbanisation
is good for prediction? We investigate this using the interaction model \[E(y|x_1,x_2) = \alpha + \beta_1x_1 + \beta_2x_2 + \beta_3x_1x_2,\] where we have extended with a possible effect of the product \(x_1x_2\).
- If we fix \(x_2\) in this model, the mean response is linear in \(x_1\) with intercept \(\alpha + \beta_2x_2\) and slope \(\beta_1 + \beta_3 x_2\), since \[E(y|x_1,x_2) = (\alpha+ \beta_2x_2 ) + (\beta_1+ \beta_3x_2)x_1.\]
- The slope for \(x_1\) now depends on the value of \(x_2\)!
- Interaction means that the effect of \(x_1\) on the response depends on the value of \(x_2\).
- Interaction does not mean that \(x_1\) and \(x_2\) affect each other.
Example - interaction model
- We fit the model for the
Crime
data set:
model3 <- lm(Crime ~ Education * Urbanisation, data = FL)
summary(model3)
##
## Call:
## lm(formula = Crime ~ Education * Urbanisation, data = FL)
##
## Residuals:
## Min 1Q Median 3Q Max
## -35.181 -15.207 -6.457 14.559 49.889
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 19.31754 49.95871 0.387 0.700
## Education 0.03396 0.79381 0.043 0.966
## Urbanisation 1.51431 0.86809 1.744 0.086 .
## Education:Urbanisation -0.01205 0.01245 -0.968 0.337
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.83 on 63 degrees of freedom
## Multiple R-squared: 0.4792, Adjusted R-squared: 0.4544
## F-statistic: 19.32 on 3 and 63 DF, p-value: 5.371e-09
- When we look at the \(p\)-values in the table nothing is significant at the \(5\%\) level!
- But the F-statistic tells us that the predictors collectively have a significant prediction ability.
- Why has the highly significant effect of \(x_2\) disappeared? Because the predictors \(x_1\) and \(x_1x_2\) are able to explain the same as \(x_2\).
- Previously we only had \(x_1\) as alternative explanation to \(x_2\) - and that wasn’t enough.
- The phenomenon is called multicollinearity. It happens because the predictors are highly correlated.
- It also illustrates that we can have different models with equally good predictive properties.
- In the case of an interaction model we always choose the model without interaction because it is simpler.
- However, in general it can be difficult to choose between models. For example, if both height and weight are good predictors of some response, but one of them can be left out, which one do we choose?
Multiple linear regression with categorical predictors
Dummy variables
Suppose we want to predict the response variable using a categorical predictor variable \(x\) with \(k\) categories.
We choose one group, say group k, as the reference category.
For the remaining groups \(1,\ldots,k-1\), we define dummy variables \[z_i=\begin{cases}0,& \text{if } x\neq i,\\1,& \text{if } x = i.\end{cases}\] for \(i=1,\ldots, k-1.\)
- The dummy variable \(z_i\) is 1 if an observation is in group \(i\) and 0 otherwise.
- When all dummy variables \(z_i=0\), \(i=1,\ldots,k-1\), it means that the observation belongs to the reference group \(k\).
We can use the variables \(z_1,\ldots,z_{k-1}\) in a multiple regression along with other predictor variables.
Example
Consider the dataset mtcars
. We are interested in how engine type vs
(categorical) and weight of the car wt
(quantitative, \(x_1\)) are associated with fuel consumption mpg
.
The variable vs
is already coded as a dummy variable \(z\) in R, taking the value 1 if the engine is v-shaped and 0 otherwise.
The multiple regression model becomes \[E(Y|x_1,z)= \alpha + \beta_1x_1 + \beta_2z.\]
- For \(z=0\): \[E(Y|x_1,z)= \alpha + \beta_1x_1.\]
- For \(z=1\): \[E(Y|x_1,z)= \alpha +\beta_2 + \beta_1x_1.\]
So we get two different regression lines for the two groups.
- The lines have a common slope \(\beta_1\) (parallel lines).
- The lines have different intercepts. The difference in intercepts is \(\beta_2\).
Example
- We always start with some graphics (remember the function
gf_point
for plotting points and gf_lm
for adding a regression line).
library(mosaic)
gf_point(mpg ~ wt, color = ~factor(vs), group=~factor(vs), data = mtcars) %>% gf_lm()
## Warning: Using the `size` aesthetic with geom_line was deprecated in ggplot2 3.4.0.
## ℹ Please use the `linewidth` aesthetic instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.
![](data:image/png;base64,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)
- An unclear picture, but a tendency to decreasing number of miles per gallon with increasing weight for both engine types.
- The slope of the lines for the two engine types look different. But is the difference significant? Or can the difference be explained by sampling variation?
Example
- We fit a multiple regression model without interaction in R:
model1 <- lm(mpg ~ wt + factor(vs) , data = mtcars)
summary(model1)
##
## Call:
## lm(formula = mpg ~ wt + factor(vs), data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7071 -2.4415 -0.3129 1.4319 6.0156
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 33.0042 2.3554 14.012 1.92e-14 ***
## wt -4.4428 0.6134 -7.243 5.63e-08 ***
## factor(vs)1 3.1544 1.1907 2.649 0.0129 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.78 on 29 degrees of freedom
## Multiple R-squared: 0.801, Adjusted R-squared: 0.7873
## F-statistic: 58.36 on 2 and 29 DF, p-value: 6.818e-11
- The common slope to
wt
is estimated to be \(\widehat\beta_1 = -4.44\), with corresponding p-value \(5.63\cdot 10^{-8}\), so the effect of wt
is significantly different from zero.
- The estimate is negative, so increasing weight decreases the number of miles per gallon.
- The estimate for intercept in the reference group (“not v-shaped”) is \(\widehat\alpha=33.0\), which is significantly different from zero if we test at level 5% (this test is not really of interest).
- The difference between intercepts for the two engine types is \(\widehat\beta_1=3.15\), which is significant with p-value=1%.
- This suggests that the regression lines are not the same for the two engine types.
- The value 3.15 is the vertical distance between the two regression lines.
![](data:image/png;base64,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)
Example: Prediction equations
##
## Call:
## lm(formula = mpg ~ wt + factor(vs), data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7071 -2.4415 -0.3129 1.4319 6.0156
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 33.0042 2.3554 14.012 1.92e-14 ***
## wt -4.4428 0.6134 -7.243 5.63e-08 ***
## factor(vs)1 3.1544 1.1907 2.649 0.0129 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.78 on 29 degrees of freedom
## Multiple R-squared: 0.801, Adjusted R-squared: 0.7873
## F-statistic: 58.36 on 2 and 29 DF, p-value: 6.818e-11
- Reference/baseline group (not v-shaped): \[\widehat y = 33.0 -4.44 x\]
- V-shaped: \[\widehat y = 33.0 + 3.15 -4.44 x = 36.15 -4.44 x. \]
Interaction model
- We can expand the regression model by including an interaction between \(x\) and \(z\): \[E(y|x,z) = \alpha + \beta_1 x + \beta_2 z + \beta_3 z\cdot x.\]
- This yields a regression line for engine type:
- Not v-shaped (\(z=0\)): \(E(y|x,z) = \alpha + \beta_1 x\)
- V-shaped (\(z=1\)): \(E(y|x,z) = \alpha + \beta_2 + (\beta_1 + \beta_3) x\).
- \(\beta_2\) is the difference in
Intercept
between the two groups, while \(\beta_3\) is the difference in slope
between the two groups.
Example: Prediction equations
- When we use
*
in the model formula we include interaction between vs
and wt
:
model2 <- lm(mpg ~ wt * factor(vs), data = mtcars)
summary(model2)
##
## Call:
## lm(formula = mpg ~ wt * factor(vs), data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.9950 -1.7881 -0.3423 1.2935 5.2061
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 29.5314 2.6221 11.263 6.55e-12 ***
## wt -3.5013 0.6915 -5.063 2.33e-05 ***
## factor(vs)1 11.7667 3.7638 3.126 0.0041 **
## wt:factor(vs)1 -2.9097 1.2157 -2.393 0.0236 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.578 on 28 degrees of freedom
## Multiple R-squared: 0.8348, Adjusted R-squared: 0.8171
## F-statistic: 47.16 on 3 and 28 DF, p-value: 4.497e-11
- We use the output to write the prediction equations:
- Reference/baseline group (not v-shaped): \[\widehat y = 29.5 -3.5 x\]
- V-shaped: \[\widehat y = (29.5+ 11.8) +(-3.5 -2.9)x = 41.3 -6.4 x. \]
Example: Individual tests
##
## Call:
## lm(formula = mpg ~ wt * factor(vs), data = mtcars)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.9950 -1.7881 -0.3423 1.2935 5.2061
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 29.5314 2.6221 11.263 6.55e-12 ***
## wt -3.5013 0.6915 -5.063 2.33e-05 ***
## factor(vs)1 11.7667 3.7638 3.126 0.0041 **
## wt:factor(vs)1 -2.9097 1.2157 -2.393 0.0236 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.578 on 28 degrees of freedom
## Multiple R-squared: 0.8348, Adjusted R-squared: 0.8171
## F-statistic: 47.16 on 3 and 28 DF, p-value: 4.497e-11
- The difference in slope between the two engine types is estimated to \(\widehat\beta_3=-2.9\) which is significant with p-value=0.0236, so the slopes are significantly different.
![](data:image/png;base64,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)
Hierarchy of models
- Always test for no interaction (\(\beta_3=0\)) before making tests for main effects (\(\beta_1=0\) or \(\beta_2=0\)).
![](data:image/png;base64,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)
F-test
- We can compare the two models in the
mtcars
example, namely the model with and without interaction via
## Analysis of Variance Table
##
## Model 1: mpg ~ wt + factor(vs)
## Model 2: mpg ~ wt * factor(vs)
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 29 224.09
## 2 28 186.03 1 38.062 5.7287 0.02363 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1