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1a) Let's say that you made a scatterplot for bivariant data such that the x-values ranged...

1a) Let's say that you made a scatterplot for bivariant data such that the x-values ranged from 50 to 85. From this, you successfully created a linear regression equation. Why should you not use the equation to make predictions of the y-value with x = 20 but you can for x = 60?

b) Let the coefficient of determination be 0.81. If you were provided no additional information, what is one thing you can determine about the correlation coefficient and what is one thing that you don't know for sure?

c)

Here's a statement about the coefficient of determination from the book:

Approximately 44% of the variation (0.4397 is approximately 0.44) in the final-exam grades can be explained by the variation in the grades on the third exam, using the best-fit regression line.

Explain what that means using everyday language (as if you were explaining it to your bff)?

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