A movie production company was interested in the relationship between the budget to make a movie and how well that movie was received by the public. The company collected information on several movies and used it to obtain the regression equation y = 0.145x+0.136, where x represents the budget of the movie (in millions of dollars) and y is the predicted score of that movie (in points from 0 to 1). Which statement best describes the meaning of the y-intercept of the regression line?

When the score of a movie is 0 points, the predicted budget is $0.
When the score of a movie is 0 points, the predicted budget is $0.136 million.
When the budget of a movie is $0, the predicted rating is 0.136 points. This interpretation is not meaningful, because a movie cannot have a budget of $0.
When the budget of a movie is $0, the predicted rating is 0.145 points. This interpretation is not meaningful, because a movie cannot have a budget of $0.

"When the budget of a movie is $0, the predicted rating is 0.136 points. This interpretation is not meaningful, because a movie cannot have a budget of $0."

The y intercept is the starting "points", which is .136. Basically the company uses the equation to figure out how much money they got from a movie and how it increases as the budget increases. They make money off points.

So when there's no budget or a budget less than a million, thats what they earn in points.

Which is, .136 ; this means when theres no budget, they are expected to start with .136 points. (Probably cuz they're a cool company or something)

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If you're looking for a question that asks "What is the predicted score of a movie that has a $5 million budget?", its (C), .861

If you're looking for a question that asks "What is the predicted score of a movie that has a $250,000 budget?", it's (B) 0.17225 points

[THIS PART IS SEPARATE FROM THE ORIGINAL QUESTION]

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ED2021

boffeemadrid boffeemadrid · Answer 2 · 2021-10-26T13:38:44+02:00

The interpretation of a given situation is required.

When the budget of a movie is $0, the predicted rating is 0.136 points. This interpretation is not meaningful, because a movie cannot have a budget of $0.

The regression equation is

[tex]y=0.145x+0.136[/tex]

where,

[tex]y[/tex] = Predicted score of that movie

[tex]x[/tex] = Budget of movie in millions of dollars

The y intercept is the value of the function when [tex]x=0[/tex]. So,

[tex]y=0.145\times 0+0.136\\\Rightarrow y=0.136[/tex]

When [tex]x=0[/tex] this means the budget of the movie is 0 million dollars.

This is not meaningful.

So, the correct interpretation of the y intercept is When the budget of a movie is $0, the predicted rating is 0.136 points. This interpretation is not meaningful, because a movie cannot have a budget of $0.

Learn more:

https://brainly.com/question/20020812

https://brainly.com/question/14305458