Answer:
Step-by-step explanation:
In the model
Log (salary) = B0 + B1LSAT +B2GPA +B3log(libvol) +B4log(cost)+B5 rank+u
The hypothesis that rank has no effect on log (salary) is H0:B5 = 0. The estimated equation (now with standard errors) is
Log (salary) = 8.34 + .0047 LSAT + .248 GPA + .095 log(libvol)
(0.53) (.0040) (.090) (.033)
+ .038 log(cost) – .0033 rank
(.032) (.0003)
n = 136, R2 = .842.
The t statistic on rank is –11(i.e. 0.0033/0.0003), which is very significant. If rank decreases by 10 (which is a move up for a law school), median starting salary is predicted to increase by about 3.3%.
(ii) LSAT is not statistically significant (t statistic ≈1.18) but GPA is very significance (t statistic ≈2.76). The test for joint significance is moot given that GPA is so significant, but for completeness the F statistic is about 9.95 (with 2 and 130 df) and p-value ≈.0001.
Answer:
So we have an original figure with a value of 50 and then a scaled version or dilation
Hence we have a scale factor of
Hey there!:)
b1+b2
--------- x h =area
2
(3+5)/2h=area
8/2h=area
4(2)=area
area= 8ft squared (this is your answer)
Hope this helps! Let me know if you need more help:)
Answer and Step-by-step explanation:
4 hours on Monday, so subtract 4 from 16.
We get 12.
So now it says twice as many on Saturday as on Thursday
So two numbers that add up to 12, but one number is twice the other number, would be 4.
4 times 2 is 8, and 4 + 8 is 12. 12 + 4 = 16
8 is the answer.
Kyle works 8 hours on Saturday.
Since 8 is twice the amount of 4, and 8 + 4 + 4 equals 16.
<em><u>#teamtrees #PWA (Plant And Water)</u></em>
Answer:
9x + 8.
Step-by-step explanation:
2(x - 3) + 7(x + 2)
= 2x - 6 + 7x + 14
= 2x + 7x - 6 + 14
= 9x + 8.
Hope this helps!
