we examined the relationship between rotten tomatoes ratings and metascore ratings for a sample of 75 popular movies. the scatterplot showed a linear form with strong positive association. here is are the statcrunch linear regression results. the number 7.8. what does this tell us? simple linear regression results: dependent variable: metascore independent variable: rotten tomatoes metascore

We looked at the correlation between rotten tomatoes and metascore scores for a sample of 75 well-known films. A linear form with a strong positive relationship was visible in the scatterplot. Here are the outcomes of the stat crunch linear regression.

We have to find the number 7.8. What is this saying to us.

The average difference between Metascore and Rotten Tomatoes ratings is 7.8 points.

7.8 is the Estimate of error standard deviation. It is not Margin of error.

So, Option A is not correct.

The anticipated and actual Metascore evaluations typically differ by only 7.8 points.

The average error in predicted value and observed value is standard error.

So, Option B is correct.

On average the total variation in the predicted Metascore ratings is 7.8% of the total variation in the observed Metascore ratings.

It's not squared value.

So, Option C is not correct.

Therefore, Option B is correct. The anticipated and actual Metascore evaluations typically differ by only 7.8 points.

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