Question 3 2 pts Substituting the value of the explanatory variable for x in the equation of the least-squares regression line results in a prediction for y. True False Question 4 2 pts In general, the slope of the least-squares regression line is equal to the correlation coefficient. True False
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Q2 True/False 1 1 Point If the correlation coefficient between variables x and y is positive, then we can say that x and y have a positive linear relationship. True False Save Answer Q3 True/False 2 1 Point If the correlation coefficient between variables x and y is positive, then the slope of the least squares regression line using x to predict y will also be positive. True False Save Answer Q4 True/False 3 1 Point The correlation coefficient between x and y must have the same value as the slope between x and y. True False Save Answer
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QUESTION 4 The point where the regression line crosses the Y-axis is called the slope: True or False QUESTION 5 The constant (alpha) in regression: True or False QUESTION 6 Correlation coefficients indicate the strength of a relationship. True False
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True/False The sample correlation coefficient is equal to the covariance of x and y divided by the square root of the product of sx^2 times sy^2. True/False An r value of -0.9 indicates a strong negative correlation. True/False For a linear regression, b1 is the estimated y-intercept, and b0 is the estimated slope of the regression line.
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