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?
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The expert examines a linear regression paper.
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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 ...
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