Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports arein metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 425 metrictons of lemon imports. Is the prediction worthwhile?Lemon ImportsCrash Fatality Rate226 27016 15.8364 481 52115.5 15.4 14.9 Find the equation of the regression line.ŷ=y =16.673 +(-0.0031 )x(Round the y-intercept to three decimal places as needed. Round the slope to four decimal places as needed.)The best predicted crash fatality rate for a year in which there are 425 metric tons of lemon imports is(Round to one decimal place as needed.)Is the prediction worthwhile?fatalities per 100,000 population.

Since you have already find the equation of regression line ŷ = 16.673 + (-0.0031)x

Answered: Find the equation of the regression…

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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You need to determine the slope of the regression line for a data set. The sums of the variables are given below. n = 14 Ex = 146.5 Ey = 993 Exy = 10,427 Ex2 = 1552 Ey? : = 70,510.5 Find the slope, only. Round the answer to the thousandths place.
The following table compares the length of a rhinoceros horn (in inches) to its body length (in inches). Use linear regression to find the equation for the line that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y=mx+by=mx+b x 35 38 41 44 47 50 53 y 111 121 132 133 137 146 157
You are studying how a penguin's flipper length (in mm) explains its body mass (in grams) using linear regression. You choose a non-directional alternative to be safe. You calculate an R2=0.7621. What is the interpretation of this value? O76.21% of the variability in body mass is explained by the flipper length. O 76.21% of the variability in flipper length is explained by the body mass. 0 Flipper length and body mass have a positive relationship becase R² is positive O76.21% of the body mass values will be inside the confidence interval
Use the regression line to make the appropriate prediction. A random sample of records of electricity usage of homes in the month of July gives the amount of electricity used and size (in square feet) of 135 homes. A regression was done to predict the amount of eleçtricity used (in kilowatt-hours) (y) from size (x). The residuals plot indicated that a inear model is appropriate. The model is y = 0.2x+ 1271. How much electricity would you predict would be used in a house that is 2471 square feet? 494.2 kilowatt-hours O 6000.00 kilowatt-hours O 1765.2 kilowatt-hours O 776.8 kilowatt-hours 3742.2 kilowatt-hours
The regression slope predicts the change in Y per unit change in X. True False
Use the regression equation to predict the value of y= -2.8. Assume that the variable x and y have a significant
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.375 b=26.852 r2=0.395641 r=-0.629 Use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place)
Please only answer “d” and “e” as I already have the other parts filled out. Thank you!
You run a linear regression to predict BMI (body mass index) from average minutes of physical activity per day. You calculate the slope of the regression to be -.054. Interpret the slope in terms of the independent and dependent variables.
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Consider the following regression equation: y = -5.3 + 8.8x.What does 8.8 depict in the regression equation above? a. None of the options. b. The direction of the line. c. The point where x = 0. d. The y-intercept.
The following table shows the Myers-Briggs personality preferences for a random sample of 404 people in the listed professions. Occupation Extroverted Introverted Row Total Clergy (all denominations) 61 43 104 M.D. 67 95 162 Lawyer 58 80 138 Column Total 186 218 404 Use the chi-square test to determine if the listed occupations and personality preferences are independent at α = 0.1. State the null and alternate hypotheses. Group of answer choices Myers-Briggs preference and profession are independent; Myers-Briggs preference is independent whereas profession is not independent Myers-Briggs preference is independent whereas profession is not independent; Myers-Briggs preference and profession are independent Myers-Briggs preference and profession are not independent; Myers-Briggs preference is independent whereas profession is not independent Myers-Briggs preference is independent whereas profession is not independent; Myers-Briggs preference and…

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