Consider the following data for a dependent variable y and two independent variables, 1 and .3012944711108251811351161784194522017674171371311860141437716211Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary.a. Develop an estimated regression equation relating y to *1.+Predict y if xı = 35.%3!b. Develop an estimated regression equation relating y to Ig.+Predict y if a = 15.c. Develop an estimated regssion equalion relatitng y to andPredict y if 1 = 35 and *a = 15.%3D

Solution: The excel data analysis tab output for regression analysis y related to x1 is

Answered: Consider the following data for a…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 17HP

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Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.
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Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the fight 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 101 100 93 75 Left Arm 177 171 148 146 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.) 5 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. = T 6 & 1' a pyright © 2022 Pearson Education Inc. All rights reserved. Terms of Use | Privacy Policy | Permissions Contact Us (...) + 8 √₁ 74 146 1) 1₁ () More 110 11 85°F + Next = insert 4) prt sc backspa
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 Left Arm 175 170 146 147 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.) % 5 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.) Submit test Copyright © 2022 Pearson Education Inc. All rights reserved. Terms of Use | Privacy Policy Permissions Contact Us 6: 6 G H 8 4- 7 B N a hp 8 76 146 JK M H N (?) 83°F 12 + [ insert see score past due see score 40) 10:26 PM 8/9/2022 prt sc…
Which equation best represents the regression line for the data given in the table above? Oy=-3x+ 22 Oy=-3x-22 Oy= 3x+ 22 Oy= 3x- 22 71 hp Oly insert
The accompanying data are the number of wins and the eamed run averages (mean number of earned nuns allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x= 5 wins E 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 The equation of the regression line is y =x+ (Round to two decimal places 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 signicance level of 0.05. Right Arm 101 100 92 80 81 Left Arm 174 168 178 147 146
The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30? 97 100 10 none of the above
The accompanying data are the number of wins and the eamed run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=5 wins (b) x= 10 wins (c) x= 19 wins (d) x= 15 wins E Click the icon to view the table of numbers of wins and eamed run average. The equation of the regression line is y-x+O (Round to two decimal places as needed.) Construct a scatter plot of the data and draw the regression line. Choose the correct graph below. OA. OB. В. Oc. D. AERA AERA AERA AERA 4- 4- 4- 4- 2 2- 2- 2- 12 18 24 6 12 18 24 12 18 24 12 18 24 Wina Wins Wina Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct choice…
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 92 79 79 Left Arm 175 168 181 142 144 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y=enter your response here+enter your response herex. (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 enter your response here mm Hg. (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 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

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