Chapter 4.3, Problem 34E

(a)

To determine

To calculate; the correlation between the number of late payments and the credit score

(b)

To determine

To calculate; the least-squares regression line for predicting average credit score (y) from average number of late payments (x)

(c)

To determine

To construct; a residual plot for the given data

(d)

To determine

To calculate; the least-squares regression line using only those points with $x<0.5$

(e)

To determine

To calculate; the least-squares regression line using only those points with $x\ge 0.5$

(f)

To determine

To calculate; the coefficient of determination using only those points with $x<0.5$

(g)

To determine

To calculate; the coefficient of determination using only those points with $x\ge 0.5$

(h)

To determine

To calculate; the situation in late payments and credit score are more strongly related i.e. $x\ge 0.5$ or $x<0.5$