intentsd ResourceListed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predictedheight of a male with a foot length of 273.1 mm. How does the result compare to the actual height of 1776 mm?Foot Length 282.4 277.9 253.4 259.3 279.2 258.2 273.6 262:3Height 1785.1 1770.9 1676.0 1646.1 1859.0 1710.1 1789.3 1736.9The regression equation is y=+x.(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)ype here to searchTutoring Help me solve thisOiGet more help.C3¹...99+0LA63Clear allCheck answer78°F^®

For the given data Find regression equation =? predicted value =?

Answered: Listed below are foot lengths (mm) and…

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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Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.2 mm. How does the result compare to the actual height of 1776 mm? Foot Length 282.3 277.9 253.1 259.3 279.2 258.1 274.2 261.8 Height 1784.8 1771.3 1676.2 1646.1 1858.7 1710.1 1789.3 1736.7 Question content area bottom Part 1 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) Part 2 The best predicted height of a male with a foot length of 273.2 mm is enter your response here mm. (Round to the nearest integer as needed.) Part 3 How does the result compare to the actual height of 1776 mm? A. The result is close to the actual height of 1776 mm. B. The…
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
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 90 mm Hg. Use a significance level of 0.05. Right Arm 100 99 92 75 74 O Left Arm 176 170 145 143 144 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y =+x. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 90 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal place as needed.)
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.8 cm. How does the result compare to the actual circumference of 5.7 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball 7.5 21.4 4.0 Diameter Circumference 23.6 23.9 75.1 4.3 22.1 13.5 69.4 7.1 22.3 12.6 67.2 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y= 0 (Round to five decimal places as needed.) + X.
In an introductory stats course x = midterm score and y = final exam score. The midterm score had a mean of 75 and a standard deviation of 4. The final exam score had a mean of 83 and a standard deviation of 9. The correlation between exam scores is 0.45 Find the regression equation. What would be the final exam would be if one scored a 67 on the midterm? Assume midterm scores predict final exam scores. Round your answer to the nearest whole number.
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.3 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 7.2 8.3 8.8 8.1 9.9 9.8 Weight (kg) 121 195 210 156 250 253
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The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 672 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 46 57 53 41 40 40 384 580 542 358 306 320
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as . 72.45х + 93.26 y = - 0.23. and the r = What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign)
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 100 99 92 80 79 O Left Arm 175 169 182 149 148 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y =+x. (Round to one decimal place as needed.)
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 100 99 91 76 76 5 Left Arm 175 170 146 147 146 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = +x (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal place as needed.)
What type of relationship does the following regression line represent? O O O a. No relationship b. A curvilinear relationship c. A positive relationship d. A negative relationship

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