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# Linear Regression Paper

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Attached is my paper using linear regression.

I need to understand the part with the residuals scatterplot -- how do the standardized predicted values against the studentized residuals differ or are the same? How is that an indicator of homoscedasticity?

Also, is my 95% CI correct? Are the numbers correct? Did I explain it properly?

See attached file for full problem description.

https://brainmass.com/statistics/linear-regression/linear-regression-paper-106292

#### Solution Preview

You need to change the 95% CI for the predicted value. Also, look at my discussion at the end of the file about the residuals.

The 95% CI can be explained further with an example prediction using the regression equation for a height equal to 160cm:

y = b0 + b1X + e
= -7.19 + .062(160) + .002 (again, don't include the ...

#### Solution Summary

The expert examines a linear regression paper.

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