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a) interpret r square b) conduct a variable significance test "pets" , "yrs_pet" and "num_pet" c)...

A Stata/IC 15.1 Graphics File Edit Data Statistics User Window Help Variables Review regress tot_quality pets pet_num yrs_pet

a) interpret r square

b) conduct a variable significance test "pets" , "yrs_pet" and "num_pet"

c) set up null and alternative hypothesis for "do pets increase total quality of life"

A Stata/IC 15.1 Graphics File Edit Data Statistics User Window Help Variables Review regress tot_quality pets pet_num yrs_pet hrs_exer happy stress Filter commands here Filter variables here Number of obs Source df MS 121 |Command rc regress tot quality pets pet. Name %23 Label F(6, 114) 8.38 Model 0.0000 pet 20.8430551 3.47384251 Prob > F 47.2395896 summarize tot_quality pets.. 12 Residual 114 .414382365 R-squared 0.3061 pets Adj R-squared 0.2696 pet_num Root MSE Total 68.0826446 120 .567355372 %3D .64373 yrs_pet hrs exer happy tot quality Coef. Std. Err. P>It| [953 Conf. Interval] t. stress tot_quality .0825779 -.2949199 .1905599 -1.55 0.124 -.6724177 pets var9 pet num .077936 0.79 0.433 .2157262 .0613356 -.0930551 var10 0.150 -.0264836 .071987 .0497077 1.45 .1704576 yrs_pet 0.39 hrs exer .0152772 .0394072 0.699 -.0627882 .0933426 var11 .4281351 happy .2631654 .0832763 3.16 0.002 .0981956 var12 -.2692593 .0688696 -3.91 0.000 -.4056895 -.1328291 stress var13 2.350901 3.297608 .4778951 6.90 0.000 4.244314 cons var14 var15 var16 summarize tot_quality pets pet_num yrs_pet hrs_exer happy stress var17 var18 Variable Obs Mean Std. Dev. Min Max var19 tot quality 121 3.46281 -75323 д х Properties 121 .6528926 .4780297 pets pet num 1.115702 1.09689 121 - Variables yrs_pet 121 2.347107 1.745044 4 Name 2.561983 hrs exer 121 1.504951 Label Type 3.834711 -7889561 happy 121 Format 3.446281 121 .9482476 stress Value label Notes - Data Command Filename Label Notes Variables 27 Observations 992 Size 29.06K Memory Sorted by 64M C:\data CAP NUM OVR
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Answer #1

20.3061 = 30.614. The amount of variability in tot-quality pets due to all predictus is 30.61% Here Ho: slope =0 NOW we willko

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