Basically your just swapping there positions like so:
if x=-5, then 3-2x=13
Hope this helps! :)
Answer:
-1/2x+1 is the equation.
Step-by-step explanation:
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.
It took her 29 minutes to race. :)
The population parameters that describe the y-intercept and slope of the line relating y and x are β₀ and β₁ respectively.
<h3>What is a
population model?</h3>
A population model can be represented by the equation:
Where μy is the population mean, β₀ is the y intercept and β₁ is the slope of the line
The population parameters that describe the y-intercept and slope of the line relating y and x are β₀ and β₁ respectively.
Find out more on population parameters at: brainly.com/question/2292917
