Notebook + Quiz: Fitting A MLR Model

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QUIZ QUESTION: :

Based on the results of your simple linear regression models, match each of the variables to the correct claim about their significance in predicting price.

ANSWER CHOICES:

Variable	Statistically Significant or Not
Not Statistically Significant
Statistically Significant
Statistically Significant
Not Statistically Significant
Statistically Significant
Not Statistically Significant

SOLUTION:

Variable	Statistically Significant or Not
Statistically Significant
Statistically Significant
Statistically Significant
Statistically Significant
Statistically Significant
Statistically Significant
Statistically Significant
Statistically Significant
Statistically Significant

SOLUTION:

Greater than 1

QUIZ QUESTION: :

Based on the results of your multiple linear regression model using all of the variables, match each of the variables to the correct claim about their significance in predicting price.

ANSWER CHOICES:

Variable	Statistically Significant or Not
Statistically Significant
Statistically Significant
Not Statistically Significant
Not Statistically Significant
Not Statistically Significant
Statistically Significant

SOLUTION:

Variable	Statistically Significant or Not
Statistically Significant
Statistically Significant
Not Statistically Significant
Not Statistically Significant
Not Statistically Significant
Not Statistically Significant
Not Statistically Significant
Not Statistically Significant
Statistically Significant

SOLUTION:

It is less than 1.

When adding style to the multiple linear regression model, the following happens:

We get another coefficient associated with style added to the model.

We get a coefficient for each level of the style added to the model.

The model is fit, but no output is provided in the summary.

There is an error, because an object cannot be added to the multiple linear regression model.

SOLUTION:

There is an error, because an object cannot be added to the multiple linear regression model.