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Home - Netflix
A random samples of movies from the OMDb API was obtained for the purpose of creating a model to predict Metascore using imdbRating.
A linear trend was fitted to the sample data, as shown in the plot below.
Metascore versus imdbRating
The equation of the line fitted is Metascore \( =-43.5+15.7 * \) imdbRating
Using a linear model based on this fitted line:
- A group of movies that all have an imdbRating of 7.6 is estimated to have a mean
Metascore of \( \square \) (round your answer to one decimal place e.g. 32.0 or 64.1).
- An individual movie that has an imdbRating of 7.6 and an actual Metascore of 70.9 would have a residual/prediction error of \( \square \) (round your answer to one decimal place e.g. 32.0 or -64.1 ).
A prediction model was developed to generate prediction intervals for Metascore, using the line fitted and a fixed error amount of \( 2 \times \) RMSE. The RMSE for this sample data is 7.8 .
Using this prediction model, the Metascore for a movie with an imdbRating of 7.6 is predicted to be between \( \square \) and \( \square \) (round your interval limits to one decimal place).