In regression output, standard error generally represents:

If a regression model has an R-square = 0.709, what percent of variation in the model is not explained? (answer as percent with 1 decimal, e.g., 46.5%, and include % sign)

The hypothesis test for correlation described in Module 8 is what kind of test?

In the Excel scatterplot shortcut described in Module 8, which two display options should be selected when adding a linear trendline to a scatterplot?

Module 8 describes adjusted R-square as:

Given: Loyalty=0.40856+7.601(Quality)−1.451(NegInfo) If quality = 0.90 and NegInfo = 0.35, what is predicted loyalty? (enter a number value with 3 decimals)

If R-square is 0.709 in a multiple regression model, Module 8 would interpret this most nearly as:

In simple linear regression, what is the dependent variable?

A researcher claims that because trust (x) and loyalty (y) are correlated, trust must be the sole cause of loyalty. Which Module 8 warning does this violate?

A farmer with 2000 meters of fencing wants to enclose a rectangular plot that borders on a straight highway. If the farmer does not fence the side along the highway, what are the dimensions of the plot and what is the largest area that can be enclosed? Show your work.