The systolic blood pressure of individuals is thought to be related to both age andweight. Let the systolic blood pressure, age, and weight be represented by thevariables x1, x2, and x3, respectively. Suppose that Minitab was used to generate thefollowing descriptive statistics, correlations, and regression analysis for a randomsample of 15 individuals.Descriptive StatisticsVariableMean15157.63 157.7315MedianTrMeanStDevSE Mean157.633.4560.89233562.2662.76167.50 166.5062.261.3560.35011815167.504.0551.046996VariableMinimumМаximumQ3166.52277.501123179139.036x2428747.988X3121237143.387222.976Correlations (Pearson)x20.8630.8280.641Regression Analysis Regression AnalysisThe regression equation isX1 =0.858 + 0.812x2 +0.528x3%3DPredictorCoefStDevConstant0.8580.7231.190.129X20.8120.7591.070.153X30.5280.4641.140.139S-0.132R-sq = 96.1 %R-sq(adj)=96.6 %Suppose a person's age is 55 and weight is 192. Predict his or her systolic bloodpressure.O 170.4203.6O 130.7157.6O 146.9

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Answered: The systolic blood pressure 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 set of n=4 pairs of X and Y value has SSx=6, SSy=18, and SP=9, for these data, what is the pearson correlation?
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 124 143 158 160 196 Number of Bids 12 13 15 16 20 Table Step 2 of 6 : Find the estimated y-intercept. Round your answer to three decimal places.
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