Which of the following methods in terms of detecting multicollinearity is wrong?1. Check the tolerance score2. Check the predictors to see whether they are measuring the same constructs3. Check the VIF score4. Check the relationship between the F-value and t-values of the model

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correct choice is b

step-by-step explanation:

when you calculate the average rate of change of a function, you are finding the slope of the secant line between the two points. for the function the average rate of change from point to point can be calculated as

to find the average rate of change from day 2 to day 10, note that at day 2, 8 houses were sold, so a(2,8) and at day 10, 2 houses were sold, so b(10,2). thus,

i think the length is 12 and the width is 17