The normal probability plot is a graph that plots the residuals against the expected value of that residual if it had come from a normal distribution. When the residuals are normally distributed or approximately so, the plot should appear as a straight line, sloping upward at a 45 angle.
Indicate whether the statement is true or false
Q. 2If the coefficient of correlation is 0.90, then the percentage of the variation in the dependent variable y that is explained by the variation in the independent variable x is:
a. 90
b. 81
c. 0.90
d. 0.81
e. none of these
Q. 3The coefficient of determination R2 measures the amount of:
a. variation in y that is explained by variation in x
b. variation in x that is explained by variation in y
c. variation in y that is unexplained by variation in x
d. variation in x that is unexplained by variation in y
e. all of these
Q. 4In regression analysis, if the coefficient of determination is 1.0, then:
a. the sum of squares for error must be 1.0
b. the sum of squares for regression must be 1.0
c. the sum of squares for error must be 0.0
d. the sum of squares for regression must be 0.0
e. all of these
Q. 5Which value of the coefficient of correlation r indicates a stronger correlation than 0.65?
a. 0.55
b. -0.75
c. 0.60
d. -0.45
e. -0.55
Q. 6If the coefficient of determination is 0.975, then the slope of the regression line:
a. must be positive
b. must be negative
c. could be either positive or negative
d. must be 0
e. none of these
Q. 7Given the least squares regression line y = -2.48 + 1.63x, and a coefficient of determination of 0.81, the coefficient of correlation is:
a. -0.85
b. 0.85
c. -0.90
d. 0.90
e. -0.81
Q. 8A regression line using 25 observations produced SSR = 118.68 and SSE = 56.32 . The standard error of estimate was:
a. 2.1788
b. 1.5648
c. 1.5009
d. 2.2716
e. 2.007
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