A regression equation is given by y=11.37395+2.82773x.The following information about the variable x and y is also given \sum y=255, \sum y^(2)=8621, \sum x^(2)=480, n=8 Calculate the value of \sum xy.Calculate the value of \sum xy. A.1552 B.1987 C.2017 D.3251

A frequent flyer was interested in the relationship between dollars spent on flying and the distance flown. She sampled 20 frequent flyers of a certain airline. She collected the number of miles flown in the previous year and the total amount of money the flyer spent. A regression line of distance flown on money spent was fit to the data: \hat y = 24000 + 10xy^​=24000+10x. A person who spent $1000 is predicted to have flown:

Use StatKey or other technology to find the regression line to predict Y from X using the following data. Click here to access StatKey. Round your answers to three decimal places. ^ The regression equation is Y = i X 3 Y 1.5 5 2 7 6 3 + i 1 5.5 3.5 X.

If you have 2 datasets on which you have conducted a regression analysis, how would you determine whether you can combine them into one dataset?

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The estimated regression equation for a model involving two independent variables and 10 observations follows. y = 33.0798 + 0.6071x1 + 0.7058x2 a. Interpret b₁ and b2 in this estimated regression equation (to 4 decimals). b₁ = - Select your answer - b₂ = - Select your answer - b. Estimate y when *₁ = 180 and ₂ = 310 (to 3 decimals).