2. An educational psychologist gathers data from a sample of college students. He finds the correlation between grade point average and class attendance to be 0.60, and he finds the correlation between grade point average and amount of time spent playing video games to be -0.60. What can the educational psychologist conclude about these correlations?
3. A researcher wants to study how the Weight (in pounds) of a Greyhound dog relates to its Top Speed (in miles per hour). We take a small sample of greyhounds, and produce the following regression equation to help explain the relationship between these two variables:
Predicted Top Speed = 33.75 + 0.125*(Weight)
Which of the following is a correct interpretation of the slope of this regression equation?
As a greyhound's Weight goes up by 1 pound, we predict that its Top Speed will go up by 33.75 miles per hour
7. If a data point falls above the regression line, its residual will be _______.
.
2. Strength of correlation is by value of r and not by it sign
So answer here is
3. Here Top Speed = 33.75 + 0.125*(Weight)
So Slope is 0.125, which means for a increase in weight speed will change by 0.125
So answer here is
C. As a greyhound's Weight goes up by 1 pound, we predict that its Top Speed will go up by 0.125 miles per hour.
7.If data point falls above the regression line, residual will be positive
So answer here is
C. greater than 0.
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