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 = 64.1788Ă‚Â Ă‚Â R-Sq = 86.1%Ă‚Â Ă‚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
