Model 1

This linear regression model in the image represents the relationship between the column Rotten Tomatoes and the columns Netflix, Hulu, Prime Video, Disney+, and ID. The purpose of the model is to give an approximate prediction of the Rotten Tomatoes score each streaming service. This model has a R-Squared score of 0.772, which makes this rank in the higher end of the R-squared range of 0.0 to 1.0. The formula that someone would use to predict this is y = 143.5601 + -0.0265(x1) + -62.9702(x2) + -17.9698(x3) + 10.7380(x4) + 47.0983(x5); with x1 representing ID, x2 representing Netflix, x3 representing Hulu, x4 representing Prime Video, x5 representing Disney+. A big down side to this model is the fact that ID independent variable is needed in order to make any sort of prediction as to what kind of score it is.

This linear regression model is without the ID independent variable. This model is extremely untrust worthy when it comes to making predictions considering that the R-squared for this model is 0.179.

This linear regression model only has the independent variables of ID and Netflix. Even though this model is comparably more trustworthy then the linear regression model above it, this model only has a R-squared of 0.495.