1. A random sample of eight drivers insured with a company and having similarauto insurance policies was selected. The following table lists their drivingexperiences (in years) and monthly auto insurance premiums.DrivingExperience (X) :5 212152516Monthly Auto(Y) : 6487507144564260Insurance Premiumа.Find the least squares regression line.b.Compute the standard deviation of errors.Test at 10% significance level whether B1 is negative.Using a = .05, test whether p is negative.c.d.

The concept of regression is introduced by the statistician Sir Francis Galton. The regression is…

1. A random sample of eight drivers insured with a company and having similar auto insurance policies was selected. The following table lists their driving experiences (in years) and monthly auto insurance premiums. Driving Experience (X) : 5 2 12 15 6 25 16 Monthly Auto(Y) : 64 87 50 71 44 56 42 60 Insurance Premium a. Find the least squares regression line. b. Compute the standard deviation of errors.

1. A random sample of eight drivers insured with a company and having similar auto insurance policies was selected. The following table lists their driving experiences (in years) and monthly auto insurance premiums. Driving Experience (X) : 5 2 12 15 6 25 16 Monthly Auto(Y) : 64 87 50 71 44 56 42 60 Insurance Premium a. Find the least squares regression line. b. Compute the standard deviation of errors.

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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Decide whether to reject or fail to reject the null hypothesis. Z (right - tailed test), a = 0.05 Zcomputed = 1.42
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Research was conducted on the amount of training for 5K and the time a contestant took to run the race. The researcher recorded the number of miles during training ( a 1 month period) and the time to complete the 5K. The results are below. Miles Trained 45 77 37 25 60 64 Time (Minutes) 32.9 28 36.2 27.5 19.5 18.3 a) Give the correlation coefficient. r = b) Give the equation of the regression line. Round the values to 4 deimal places.This is in the form y = ax + b, so the slope goes in the first box and the y-inercept in the 2nd box.y = x + c) Interpret the y-intercept (Explain it's meaning, do not just give its value.)d) Predict the time in the 5K if someone trained 37 miles.Use the rounded values entered for the slope and intercept of the regression line to compute the predicted y-value.y = e) Give the residual for 37 miles trained.This is the actual y value for the runner who trained for miles minus the predicted value.Residual=
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Suppose you are a dolphin trainer at SeaWorld. You teach the dolphins by rewarding them with fish treats after each successful attempt at a new trick. The following table lists the dolphins, the number of treats per success given to each, and the average number of attempts necessary for each to learn to perform the tricks. Dolphin Number of Treats Number of Attempts Diana 4 5 Frederick 2 8 Fatima 1 8 Marlin 3 7 You can use the preceding sample data to obtain the regression line, where Ŷ is the predicted value of Y: ŶŶ = = bX + abX + a One formula for the slope of the regression line is as follows: bb = = SPSSxSPSSx To calculate the slope, first calculate SP and SSxx: SP = __?__ , and SSxx = _?_ . (Hint: For SP use the computational formula and for SSxx use the definitional formula.) The slope of the regression line is , and the Y intercept of the regression line is ___?__ . The difference between Y and…
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