Heights and answers to the question, “How much would you like to weigh?” were recorded for $ n = 126 $ women in a statistics class. A regression equation for $ y = $ desired weight (in pounds) and $ x = $ height (in inches) is:Estimated mean desired weight $ = -65.4 + 2.90 \times \text{(Height)} $\[\hat{y} = b_0 + b_1 x\]a. What is the value of the slope of this regression equation?[Blank for answer input]

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Answered: Heights and answers to the question,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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What is the null hypothesis to test the significance of the slope in a regression equation? Multiple Choice Ho:B 20 Ho: Bs0 O Ho: B = 0 Ho: B 0
Suppose that for a typical FedEx package delivery, the cost of the shipment is a function of the weight of the package measured in ounces. You want to try to predict the cost of a typical shipment given package dimensions. If 10 packages in a city are sampled and the regression output is given below, report the regression equation. 1) (cost of delivery) = 1.468*(weight) - 23.015 2) (weight) = -23.015*(cost of delivery) + 1.468 3) (cost of delivery) = -23.015*(weight) + 1.468 4) (cost of delivery) = 1.468*(weight) 5) (weight) = 1.468*(cost of delivery) - 23.015
More horsepower In Exercise 2, the regression modelmpg = 46.87 - 0.084 HP relates cars’ horsepower totheir fuel economy (in mpg). Explain what the slopemeans.
A regression was run to determine if there is a relationship between hours of study per week (�) and the test scores (�).The results of the regression were:y=ax+b a=6.254 b=33.41 r2=0.976144 r=0.988 Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.
Ariel was running analyses over and over in census data and came across a correlation between weight and debt (r=.78). Independent variable is weight and dependent variable is debt. b) Curious Ariel noted some statistics on these weight (M=160lb, SD=15lb) and debt (M=196k, SD=20k). If Ariel wanted to calculate a regression equation, what would her slope and intercept be?
How to know if obtaining a regression equation for the data appear reasonable?
Describe the correlation coefficient and explain how it is used in regression analysis?
Explain the process of Computing the Regression Line?
An online retailer examined their transactional database to see how the value of total annual purchases ($) for individual customers was related to their annual income ($). They obtained the following regression model:Total annual purchases = -49.80 + 0.0246(annual income)correlation = 0.533(a) What does the slope tell us? (Annual Income/ Total Annual Purchases) is/are predicted to increase by ($0.0246 / -$49.80) for each additional $1 of (Annual Income/ Total Annual Purchases).(b) What does the intercept tell us? A.The intercept does not have a practical meaning in this context. B. Total annual purchases are predicted to be $0.0246 when annual income = 0. C. Total annual purchases are predicted to be $-49.80 when annual income = 0. D. Annual income is predicted to be $0.0246 when total annual purchases = 0. E. Annual income is predicted to be $-49.80 when total annual purchases = 0. (c) Which statement is correct concerning the quality of this model? A. 28.4% of the variability in…
The best-predicted weight for a bear with a chest of 44 inches is how many pounds? Is the close to the actual weight of 293 pounds?
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.

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