Please help what are the answers for parts a-1 & B University ot South Alabama :

Question

Please help what are the answers for parts a-1 & B

University ot South Alabama : × 14.3 The Multiple Regression M Please Help. What Are The Ans × + eztomheducation.com/hm.tpx?-0.157949084670736431 5201 155 80% South A Vector @Amazon. YouTube Discover Card i The District at South watch cartoons online ng Started onre&Home; My Account Quick Tips 9ANIME , y 15 59 30 535 57 X1 48 5236 8 3 49 4 226 13 15 20 23 27 20 12 a-1. Eslitrale a rrullipks ling eyression model. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. a-2. Interpret its coeticients x1 As x1 increase by one ri, y is predicted to incease by 0.98 uriits, holdg x corslant. Asx increases by one unit, y is predicted to decrease by 0.96 units, holding x2 constent OAs x1 increases by one unit, y is predicted to decrease by 10.16 units, hoidingx2 constant As X1 increases hy one unit, y is predicted to increase by 1046 unts, hoking x2 constant Inl3iprel ils coefficients X2 . () As 1ncreases by one unt; yis predicted to increase by 10 46 unts, holding x1 constant . a s K2 inc'exases by one unit y is p'odded to decrease by 054 units holding xi turistant Asx2 increases by one unit, y is predicted to decrease by 10.16 units, hoiding x1 constant. () As12 increases hy one unt, y is predicted to increase by 0 54 units, hold ng x-metant b. Find the predicted value for y if x equais 40 and x2 equsls 30. Round the Intermedlate calculations and final answer to 2 decimal places.) y hat 4:19 PM Type here to search 3/3/7018

Explanation / Answer

The statistical software output for this problem is:

Multiple linear regression results:
Dependent Variable: y
Independent Variable(s): x1, x2
y = 10.455956 + 0.96444518 x1 + -0.54460926 x2

Parameter estimates:

Analysis of variance table for multiple regression model:

Summary of fit:
Root MSE: 4.5792061
R-squared: 0.8574
R-squared (adjusted): 0.8004

Hence,

a) Regression equation will be:

y-hat = 10.46 + 0.96 x1 + (-0.54) x2

b) For x1 = 40, x2 = 30

y-hat = 10.46 + 0.96*40 + (-0.54)*30

y-hat = 32.66

Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 10.455956 8.4814081 0 5 1.232809 0.2724 x1 0.96444518 0.17704751 0 5 5.4473806 0.0028 x2 -0.54460926 0.3307881 0 5 -1.6463992 0.1606

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