Problem 6 Interpreting Multiple Linear Regression Analysis Using the data from the previous slide: A. What is the most important independent variable in the determination of infant birth weight? Hint: examine the values oft B. Holding all other variables equal, how much more will a male infant weigh than a female infant? C. Holding all variables equal, how much more will an infant weigh with a gestational age at birth two weeks more than another infant? Problem 6 Interpreting Multiple Linear Regression Analysis Outcome infant birth weight, grams y=46 ndependent Variable Imtercept Male gender Regression Coefficient p-value -3850.92 -11.56 0.0001 174,79 6.06 0.0001 Gestational age, weeks Mother's age, years 179.89 22.35 0.0001 .38 0.47 0.6361 Black race -138.46 0.0535 -1.93 Hispanic race -13.07 -0.37 0.7103 Other race -68.67 0.2918 -1.05

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.