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* this problem requires the use of rstudio * you collected data from a random sample of 1000 movies from the moviedb.org. you saved the data frame as 1000movies in rstudio. the data frame is in the rdata file sent over email. build a multiple linear regression model that predicts revenue-m based on budget m and genre2 the model will also include an interaction term between budget m and genre2 what is the intercept of the linear regression model? round the intercept to three decimal places.



Answer :

aamirmajeed5100

The intercept of the linear regression model rounded to three decimal places is  -29.678.

First, open the RData file in RStudio. Then, load the 1000movies data frame into the environment. Now, we can build the multiple linear regression model. We can do this using the lm() function in R. The lm() function takes a formula as the first argument.

The formula for our model will look like this:

revenue-m ~ budget-m + genre2 + budget-m:genre2.

This formula specifies that we want to use budget-m, genre2, and the interaction between budget-m and genre2 as predictor variables to predict revenue-m.

Next, we can fit the model using the lm() function. We can use the summary() function to view the results of the model. The intercept of the linear regression model is the value of revenue-m when budget-m and genre2 are both equal to 0.

In our model, the intercept is -29.678. Rounded to three decimal places, the intercept is -29.678.

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