Help withwhat is the p valuelower bound and upper bound- Use technology to construct a 95% confidence interval about the slope of the true least-squares regression line. A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarizedbelow. Complete parts (a) through (f) below.Height (inches), xHead Circumference (inches), y27.525.527.752625017.517.117.617.316.9

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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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Data on 12 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables were measured in minutes and a regression analysis was performed. ski 85 2.5. treadmill = Coefficients Estimate (Intercept) Treadmill 85 - 2.5 Std. Error What is the test statistic? -2.5 0.45 1 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? Round your answers to three decimal places. Using your answer from the previous question, find the p-value. Part 2 o
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Can you contruct a 95% confidence interval for the Y intercept for the regression equation. Then explain what do you conclude from this regression?
True or False? The r2 value and a least squares regression line can be an excellent way to demonstrate the degree of correlation between two variables, and the type of association between the two variables. This quation was asked twice in bartley but the answers were different. Clarification is needed. Thank you
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The prediction equation for the data given below is y_hat = -3.98 + 0.56x. What is the residual value when x = 10? 10 2 11 2 15 4 17 0.38 1.62 None Exists
A data ninja has created a multiple regression model. There are 3 independent variables in the model. The variables and their P-values can be found in the table below. Independent VariableP-ValueX1: Advertising0.142X2: Social Media0.006X3: Coupons0.071 QUESTION: Study the P-Values. At 90% confidence level, which independent variable(s) can be proven significant in the model? Group of answer choices X3 only X1 only X2 only X2 and X3
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Public health researchers would like to evaluate whether information on age (in years) and weight (in kg) could be used to predict shoe size of students. The output of the linear regression analysis is given below. 95% confidence interval Unstandardized Beta t Lower bound Upper bound (Constant) 6.493 1.121 -5.191 18.177 Age (years) -0.462 -1.617 -1.037 0.114 Weight (kg) 0.155 7.568 0.114 0.197 Dependent variable: shoe size A) Write null hypotheses for the linear regression analysis. B) Interpret the results of the linear regression in not more than 100 words. C) Write a complete equation for the results of the linear regression analysis
ul Sprint 11:43 AM 86% Done Attachment 11 Construct the indicated prediction interval for an individual y. 12) The paired data below consists of heights and weights of 6 randomly selected adults. The equation 12) of the regression line is y = -181.342 + 144.46x and the standard error of estimate is se = 5.0015. Find the 95% prediction interval for the weight of a person whose height is 1.75 m. x Height (meters) | 1.61 1.72 1.78 1.80 1.67 1.88 y Weight (kg) A) 58.5 < y < 84.5 х 54 62 70 84 61 92 B) 65.4 < y < 77.6 C) 52.1 < y < 90.9 D) 56.5 < y < 86.5