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PMBA 6330 Week Four Assignment
The attached child mortality data gives data on child mortality rate (CM), female literacy rate (FLR), per
capita gross national product (PGNP), and total fertility rate (TFR) for a group of 64 countries

#### PMBA 6330 Week Four Assignment
The attached child mortality data gives data on child mortality rate (CM), female literacy rate (FLR), per
capita gross national product (PGNP), and total fertility rate (TFR) for a group of 64 countries

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PMBA 6330 Week Four Assignment

The attached child mortality data gives data on child mortality rate (CM), female literacy rate (FLR), per

capita gross national product (PGNP), and total fertility rate (TFR) for a group of 64 countries. Please use

multiple regression analysis to answer the following questions below:

a. A priori, what is the expected relationship between CM and each of the other variables?

b. Regress CM on FLR and obtain the usual results. Explain and interpret the following: , , , , , , , .

c. Use the raw data to solve for using MS Excel as a fancy calculator. Copy and paste the results as

a picture into your document.

d. Regress CM on FLR and PGNP and obtain the usual results. Explain and interpret the following: ,

, , , , , , and , and .

e. Regress CM on FLR, PGNP, and TFR and obtain the usual results. Explain and interpret the

following: , , , , , , , , and , and .

f. Given the results above, which model best explains CM?

g. Suppose you regress CM on FLR as in (b) above. How would you decide whether it is worth

adding the variables PGNP and TFR to the model? Which test would you use? Please show

calculations.

h. Finally, use the ANOVA table in your chosen model to locate and interpret the following: TSS,

ESS, RSS, MSE, and F.

Note: For all questions that inquire about the effects of key independent variables, please state whether

they are statistically significant at below the 5% level (i.e., set ). Also, for all regression models, please

use F to determine whether a model is statistically significant. As before, please set