PCI (Y) 34.0 36.0 38.2 43.0 44.0 44.0 45.0 48.0 40.0 YNG X)PCI(Y) 317 270 208 15
ID: 3274296 • Letter: P
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PCI (Y) 34.0 36.0 38.2 43.0 44.0 44.0 45.0 48.0 40.0 YNG X)PCI(Y) 317 270 208 150 105 128 41.0 42.0 45.0 36.0 42.6 33.0 33.0 47.0 47.0 188 39.0 132 290 39.0 37.0 46.0 45.6 42.0 1 10 320 75 210 38.8 Summary of Separate Straight-Line Fits Location 2 B1 2170.67 -42.0 40.277 478.846 21.633 139 1.756-0.983 897.519 -17.39 40.892 186.462 20.244 188.919 0985 26 Latin America Africa e. Test H: he population correlation coefficients are equal for the two groups of countries under study." Use = .05. Does your conclusion here clash with your For each of the prececding tests,asume that the alernative hypothesis is wo sided f. Comment on the validity of the homogeneous variance assumption for these data A team of anthropologists and nutrition experts investigated the influence of protein content in diet on the relationship between AGE and height (HT) for New Guinea findings regarding the equality of slopes? (Hint: See Section 6.7.) 3. lnrotein-Door mnanying tables display values of HT (in centimeters)Explanation / Answer
The mean and variance of the variate X is more or less the same for the two variables.
Mean of X for latin America is 40.277 and for that of Africa is 40.892.
Also the variance of X is 21.633 and 20.244 for the two variables, which is not much different.
But the mean and variance Y variate is much different in the two variables.
Mean of Y in latin America is 478.846 which is more than double of that of Africa viz 186.462.
Also Variance of Y in latin America is 1391.756 which is huge in front of Africa viz 188.919.
So homogenityprinciple can't be applied to this regression problem.
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