2)
y^= 401.0069 - 88.3314 PCP + 0.010979 Income + 278.8516 ADE +
68.66415 PFBG
3)
slope coefficient - when x is increased by 1 unit keeping other
variables constant
then y changes by amount of coeffienct
hence
if PCP in increased by 1 unit, y decreases by 88.3314 units .
similarly others
6)
R^2 = 0.9731
hence 97.31 % of variation is explaiend by this model
7)
if |t-stats| > critical value
then we reject the null hypothesis
df =20
critical value = =t.inv.2t(0.05,20)
= 2.085
we conclude that variable is significant
here PCP and ADE are significant
Income and PFBG are not
Please post Q4,5,8,9 again
We have to solve one question or 4 sub-parts at one time
Hello I need help with questions 2 until 9 if possible. If you can please show all work and answe...
Hello I need help with questions 2 until question 9 if you can do that for me thanks. I need to see all work and answers clearly. Thanks for the help I know it’s a lot but I really need help with this it’s a project that’s due tonight. Thanks ! 27 27889.0526471 10.12 1.09 28 SUMMARY OUTPUT 29 30 Regression Statistics 1 Multiple F 0.986442 32 R Square 0.973068 33 Adjusted 0.967681 34 Standard I 32.55341 35 Observati 36...
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