All logs are to base e Size is in cubic centimeters, Age is in years, Weight...

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All logs are to base e
Size is in cubic centimeters, Age is in years, Weight is inpounds, Temperature is in degrees Fahrenheit, Height is in inches,Cost is in dollars, and Distance is in miles
The regression equation is
Log(Size) = 28.6 + 0.0292 Age - 1.124 Weight - 1.69log(Temperature) + 1.02 log(Height) + 2.24 log(Cost) - 0.334log(Distance)
Predictior Coef SE Coef T P
Constant 28.59 20.67 1.38 0.301
age 0.0292 0.083 12.27 0.006
weight -1.124 0.052 -21.40 0.001
Log(temp) -1.691 0.223 -7.58 0.002
Log(height) 1.0207 0.847 1.21 0.351
Log(cost) 2.239 0.42 5.06 0.004
Log(distance) -0.334 0.0112 -2.98 0.049
S = 64.1788Â Â R-Sq = 86.1%Â Â R-Sq(adj) =72.1%
Answer the following question using three decimals.
If the effect is not statistically significant put in NA
Put in percentages without the percent sign, so put in 10 insteadof 10%
1-
As age increases by 1 year the size increases by thepercentage
2 -
As weight increases by one pound the size decreases by thepercentage
3-
As temperature increases by 7% the size will decrease by thepercentage
4-
As Height increases by 3% the size increases by thepercentage
5- As cost increases by 5% the size increases by thepercentage

Answer & Explanation Solved by verified expert

3.9 Ratings (720 Votes)

We know that the pvalue for each term in regression model tests the null hypothesis that the coefficient is equal to zero no effect A low pvalue 005 indicates that you can reject the null See Answer

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Predictior	Coef	SE Coef	T	P
Constant	28.59	20.67	1.38	0.301
age	0.0292	0.083	12.27	0.006
weight	-1.124	0.052	-21.40	0.001
Log(temp)	-1.691	0.223	-7.58	0.002
Log(height)	1.0207	0.847	1.21	0.351
Log(cost)	2.239	0.42	5.06	0.004
Log(distance)	-0.334	0.0112	-2.98	0.049