Refer to the data table below. Complete parts (a) through (d). Click on the icon to view the data table. . Find the best regression equation with IQ score as the response variable. Use predictor variables of brain volume (VOL) and/or weight (W). Select he correct choice and fill in the answer boxes to complete your choice. Round to four decimal places as needed.) OA. 1Q=+ OVOL + OB. 1Q= VOL OC. 1Q= b. Why is this equation best? O A. It is the best equation of the three because it has the lowest adjusted R2, the lowest P-value, and the greatest number of predictor variables. O B. It is the best equation of the three because it has the highest adjusted R2, the lowest P-value, and the fewest number of predictor variables. OC. It is the best equation of the three because it has the highest adjusted R2, the lowest P-value, and the greatest number of predictor variables. O D. It is the best equation of the three because it has the lowest adjusted R2, the highest P-value, and the fewest number of predictor variables. c. Based on these results, can a researcher predict someone's IQ score if he or she knows the volume and weight of their brain? OA. No, because the adjusted R2 value is high. Predictions using the regression equation are unlikely to be accurate. OB. Yes, because the adjusted R? value is high. Predictions using the regression equation are likely to be accurate. OC. Yes, because the adjusted R2 value is low. Predictions using the regression equation are likely to be accurate. OD. No, because the adjusted R2 value is low. Predictions using the regression equation are unlikely to be accurate. d. Based on these results, does it appear that people with larger brains have higher IQ scores? O A. No, because the regression eguation has Overall significance hut the coefficient of hrain uuolu

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A: Sum of n odd numbers, where the last term of the series is (2n – 1), is, Sn = 1 + 3 + 5 + …. + (2n –…

Q: expand (a-b)7

A: The solution is given in the next step.

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A: We will evaluate the required value.

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Q: 38 10

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Q: 18(9+7)+3

A: 18(9+7)+3

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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.