A statistical analysis on the data from two millions of people in the US has shown that people's educational level is related to their annual income such that as individuals have higher levels of education, they are likely to have higher incomes. If you perform a regression analysis on this data set (X - Level of education; Y - Annual income), what do you expect to find? O a. The regression slope is likely to be positive O b. The regression slope is likely to be negative O c. The y-intercept is likely to be positive Od. The y-intercept is likely to be negative

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A statistical analysis on the data from two millions of people in the US has shown that people's educational level is related to their annual
income such that as individuals have higher levels of education, they are likely to have higher incomes. If you perform a regression analysis
on this data set (X - Level of education; Y - Annual income), what do you expect to find?
O a. The regression slope is likely to be positive
O b. The regression slope is likely to be negative
O c. The y-intercept is likely to be positive
Od. The y-intercept is likely to be negative
Transcribed Image Text:A statistical analysis on the data from two millions of people in the US has shown that people's educational level is related to their annual income such that as individuals have higher levels of education, they are likely to have higher incomes. If you perform a regression analysis on this data set (X - Level of education; Y - Annual income), what do you expect to find? O a. The regression slope is likely to be positive O b. The regression slope is likely to be negative O c. The y-intercept is likely to be positive Od. The y-intercept is likely to be negative
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