nis Question: 1 ptA 4 of 8 (7 complete) ▼The accompanying data are the number of wins and the eamned run averages (mean number of earned runs allowed perpitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw thequation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict th(a) x= 5 winsE Click the icon to view the table of numbers of wins and earned run average.(b) x= 10 wins(c) x = 19 wins(d) x = 15 winsThe equation of the regression line is y = x+- XWins and ERA(Round to two decimal places as needed.)Construct a scatter plot of the data and draw the regressO B.Earned runWins, xaverage, yAERA6-AERA202.72183.264-172.682-163.79143.950-O 6 12 18 24124.31Wins113.79Click to select your answer(s).95.14Review for the Micterm Exam PartOasearch1641144&.

Let X: wins Y: earned run average

sQuestion: 1 pt 4 of 8 (7 complete) ne accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed pen ichers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw th quation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict t (a) x=5 wins : Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 19 wins (d) x = 15 wins - X he equation of the regression line is y = x+| Round to two decimal places as needed.) Wins and ERA Construct a scatter plot of the data and draw the regress O A. O B. Earned run Wins, x average, y AERA 64 ERA 20 2.72 18 3.26 4- 17 2.68 2- 16 3.79 14 3.95 12 18 24 Mins 12 4.31 11 3.79 Click to select your answer(S). 9 5. 14. O Review for the Midterm Exam Part arch bp

sQuestion: 1 pt 4 of 8 (7 complete) ne accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed pen ichers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw th quation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict t (a) x=5 wins : Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 19 wins (d) x = 15 wins - X he equation of the regression line is y = x+| Round to two decimal places as needed.) Wins and ERA Construct a scatter plot of the data and draw the regress O A. O B. Earned run Wins, x average, y AERA 64 ERA 20 2.72 18 3.26 4- 17 2.68 2- 16 3.79 14 3.95 12 18 24 Mins 12 4.31 11 3.79 Click to select your answer(S). 9 5. 14. O Review for the Midterm Exam Part arch bp

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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Find the equation of the regression line for the given data. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. What is the regression equation? Predict the value of y for x=503. (Please show me how you figured this out) Predict the value of y for x=641.
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
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The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1004 952 1237 1116 1177 1249 Temperature (°F) 83.1 76 95.1 87.5 92.1 88.4 What is the regression equation? (^ over y)=_____+_____x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute? The best-predicted temperature when a bug is chirping at 3000 chirps per minute is ____°F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. A. It is…
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 924 1150 840 1166 1087 930 Temperature (°F) 77.5 84.6 74.1 91 79.6 79.7 What is the regression equation? What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? What is wrong with this predicted value? Choose the correct answer below. A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The first variable should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. D. Nothing is wrong with this value. It can be…
An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:. Summary measures Multiple R 0.9689 R-Square 0.9387 Adj R-Square 0.9212 StErr of Estimate 72.218 Regression coefficients Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.
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The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1118 796 1161 918 1103 1219 Temperature (F) 82 72.2 92.2 73 87.5 94.4