12.A consumer advocacy group recorded several variables on 140models of cars. The resulting information was used to produce the followingregression output that relates the city gas mileage (in mpg) and the enginedisplacement (in cubic inches).The regression equation ismpg:city= 33.4 0.0624 displacementPredictorConstantSE CoefTP0.7762 43.00 0.000displacement -0.0624 0.0038100.000S 3.13923=R-Sq 66.0% R-Sq (adj) = 65.8%a.We have a car that has an engine with 150 cubic inches. Based on thisoutput, what city gas mileage would you predict for this car?Coef33.4b.Based on this output what is the correlation between city gas mileageand displacement?C. Ivalue:The test statistics for testing the slope is zero is missing. Calculate thisThe groupo also recorded the power of the engine (in horsepower) for each car. Thefollowing regression output was produced.PredictorConstanthorsepowerThe regression equation ismpg:city = 32.2 0.0572 horsepowerCoef SE Coef32.2TP1.000 32.19 0.000-0.0572 0.005022 -11.39 0.000S = 3.86688 R-Sq48.4% R-Sq (adj) = 48.1%d.Which of the variables (horsepower or displacement) would be thebetter predictor of city gas mileage? Explain.

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Answered: a. We have a car that has an engine…

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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Round to two decimal places as needed.
Please answer the question on the screenshot:
C) If Ariel converted her variables into standard deviation units and then computed her regression equation, what would her slope and intercept be?
i am confused?
The following data represent the muzzle velocity (in feet per second) of rounds fired from a 155-mm gun. For each round, two measurements of the velocity were recorded using two different measuring devices, resulting in the following data. Complete parts (a) through (d) below. Observation 1 2 3 4 5 6 791.1 793.1 794.1 791.2 794.5 790.6 795.8 789.0 800.3 786.8 800.6 787.0 A B Click the icon to view the table of critical t-values. a) Why are these matched-pairs data? A. The same round was fired in every trial. B. The measurements (A and B) are taken by the same instrument. C. Two measurements (A and B) are taken on the same round. D. All the measurements came from rounds fired from the same gun.
I need help finding the distance the stick traveled. It’s average acceleration is 1.5 mph.
The horsepower (Y, in bhp) of a motor car engine was measured at a chosen set of values of running speed (X, in rpm). The data are given below (the first row is the running speed in rpm and the second row is the horsepower in bhp): rpm 1100 1400 1700 2300 2700 3200 3500 4000 4600 5200 5600 6100 Horsepower (bhp) 50.2 64.29 67.83 98.56 131.09 163.65 161.55 198.62 226.03 254.71 283.63 299.81 The mean and sum of squares of the rpm are 3450.0000 rpm and 173900000.0000 rpm 22 respectively; the mean of the horsepower values is 166.6642 bhp and the sum of the products of the two variables is 8506152.0000 rpm bhp. Given Values: a) Slope: 0.052 b) Intercept: -11.694 c) 95% Confidence Interval when the standard error of the estimate of the slope coefficient was found to be 0.001160: (0.0494, 0.0546) please answer the following: Part e)Without extending beyond the existing range of speed values or changing the number of observations, we would expect that increasing the variance of the…
2. Participants were kept awake for a certain number of hours before given a visuospatial task. Researchers measured how many correct responses each participant had. Results are shown below. Use alpha = .01. Number of Correct Hours Kept Awake (X) Responses (Y) 21 X = 10 SS, = 422 Y = 10 SS, = 690 2 4 19 %3D 6. 13 SPxy =-525 ху 5 20 S, =5.70 S, = 7.29 9. 11 10 9. 14 5 15 5 17 2 18 1 17 1 13 4 18 8 11 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. G. If someone was kept awake for 9 hours, what is the predicted number of correct responses?
A researcher is interested in understanding the relationship between ife stress (Variable X) and quality of life (Varlable Y). Using the whiteboard, plot the data below Into a scatterplot and comment on the type of relationship you see between life stress and quality of life. BE SURE AND SAVE YOUR PICTURE. 3. 3. Aa stroke

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