The correlation between variables x and y is .50. You compute a least-squares regression line with this bivariate data. Which of the following must be true? The r2 is greater than .50. The regression constant (or y-intercept) is positive. The regression coefficient is positive. The slope of the regression line is negative. All of the above.
sry but i dont know statistics and linear regression
@jim_thompson5910
"The correlation between variables x and y is .50" so r = 0.50 what is r^2 equal to?
the answer is A since it is going to be greater than .50
what is the value of r^2
r = 0.50 r^2 = ???
hey sorry for the late reply one sec
.25
is 0.25 larger than 0.50 ?
no
@jim_thompson5910
so choice A is false
that means choice E) All of the above. is also false
is "The slope of the regression line is negative." true?
yes
no, it's false because the value of r is positive if r is positive, then the slope is positive if r is negative, then the slope is negative
the sign of r doesn't tell us anything about the y-intercept, so saying "The regression constant (or y-intercept) is positive." is uncertain. It could be true or it could be false. We simply don't know So in general, "The regression constant (or y-intercept) is positive." is false
the only thing left is " The regression coefficient is positive." and that is definitely true because the regression coefficient is another term for the slope
thnxs!
np
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