Answer multiple regression analysis of this data set. Make sure predictor variables and outcome variables are clearly identified

• Multiple regression:What combination of factors (such as adult mortality, measles incidence, and GDP) best predicts life expectancy in a given country?

What proportion of variance did each of the predictors account for in the outcome scores?

Multiple regression:

Was the overall prediction significant? Report the p-value to the thousandth place.

Multiple regression:

What is the y-intercept?

Multiple regression:

What were the raw-score beta weights for each predictor? Interpret these beta weights in words.

Multiple regression:

What were the z-score beta weights for each predictor? Interpret these beta weights in words.

Multiple regression:

Which predictors were making a significant contribution to the overall prediction? Which were not?

Multiple regression:

Respond to the original research question. Translate your findings into lay terms that speak to the variables under consideration.

Multiple regression: