An engineer wanted to determine how the weight of a car affects gas mileage. The following data represent the weight of various cars and their gas mileage. Complete parts (a) through (d). likely response variable. The explanatory variable is the miles per gallon and the response variable is the weight. Weight Car (pounds) 3180 3310 3985 2580 3340 Miles per o Gallon 23 The explanatory variable is the weight and the response variable is the miles per gallon. 19 18 27 C (b) Draw a scatter diagram of the data. Choose the correct scatter plot. 21 O B. Click the icon to view the critical values table. 40004 30- 15 2500 Weight (Ibs) 2500 15 4000 30 mpg C. OD. 4000 30 2500 15 15 30 2500 4000 L mpg Weight (Ibs) Weight (Ibs)

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A: topic - cubic polynomial

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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.