The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider theequation of the regression line, y = bo + b₁x. for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep inmind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression lineto make a prediction if the correlation coefficient is not statistically significant.Hours Studying 1 2Midterm Grades 6364Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.AnswerHow to enter your answer (opens in new window)3 4 682 93 98TablesTableCopy DataKeypadKeyboard Shortcuts

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Answered: The table below gives the number of…

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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A football coach is looking for a way to identify players that are "under weight". The coach decides to get data for each player's height (x, in inches) and weight (y, in pounds), then does a linear regression. The results are: y = - 52 + 3x,r = 0.9 and the standard error is Se = 10.4. Since there is a strong linear correlation the coach, who also majored in Statistics, decides to identify all "outliers" in the data. Obviously, any player whose weight is above the regression line is not "under weight". So the only outliers the coach is interested in are those that are below the regression line. What is the lowest weight possible for a 69 inch player to not be considered "under weight"? Do not round. Submit Question MacBook Air O00 O00 F4 II F8 F2 F3 F5 F6 F7 F9 23 %24 & 8. E R T. Y F G K. C M. V B %#3
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 116 168 170 184 188 Number of Bids 10 11 15 16 19 Table Step 2 of 6 : Find the estimated y-intercept and correlation . Round your answer to three decimal places. Answer
It seems logical that the more bank accounts there are, the more ATM withdrawals there would be. Using the data from Central Bank of Malaysia, a simple regression analysis for one year data have been done to predict the number of ATM withdrawals by the number of bank accounts: the following result is the regression output from the data.
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, ý = bo + b,x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 1 1.5 4 4.5 5.5 Overall Grades 87 86 79 78 76 67 65 Table Copy Data Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Prev 田 Tables E Keypad AnswerHow to enter your answer (opens in new window Keyboard Shortcuts © 2021 Hawkes Learning JIS A
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05 Right Arm 101 100 94 75 Left Arm 174 167 146 144 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is (Round to one decimal place as needed.) 76 144 CRITS
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 1 2 2.5 3.5 4 5.5 6 Overall Grades 99 81 73 72 67 65 63 Table Step 1 of 6 : Find the estimated slope. Round your answer to three decimal
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 1 2.5 3 3.5 4 4.5 5 Midterm Grades 72 78 83 91 95 96 97 Table Step 2 of 6 : Find the estimated y-intercept. Round your answer to three decimal places.
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y = bo + bjx, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 47 49 50 51 58 Bone Density 360 353 336 333 310 Table Copy Data Step 3 of 6: Find the estimated value of y when x = 58. Round your answer to three decimal places.
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 1 2.5 3 3.5 4 4.5 5 Midterm Grades 72 78 83 91 95 96 97 Table Step 1 of 6 : Find the estimated slope. Round your answer to three decimal places.
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, ŷ = bo + bx, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 2.5 3 4 6 Overall Grades 100 98 97 87 86 74 62 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 120 127 129 175 190 Number of Bids 11 15 17 18 19 Table Step 6 of 6 : Find the value of the coefficient of determination. Round your answer to three decimal places
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y = bo + b,x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 1 1.5 2.5 4 4.5 Overall Grades 97 93 85 74 72 71 66 Table Copy Data Step 3 of 6: Find the estimated value of y when x = 4.5. Round your answer to three decimal places.

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