Coefficients:Estimate Std. Error t value Pr(>Itl)4248.71 17.20197.432e-16 ***0.0498 •(Intercept) 73082.38age> mean(data$income)[1] 81030.3> mean(data$age)[1) 41.54> cor(data$income, data$age)11] 0.06335362Please use the relevant portion of the R output to calculate the coefficient estimatefor b1.A Please use the relevant portionof the R output to calculate the t-statistic associated with b1.A Please use the relevant portion of theR output to calculate r².

A regression equation is used in forecasting.

Answered: Coefficients: Estimate Std. Error t…

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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Myocardial blood flow (ml/min/g) was measured for a group of cyclists under normal oxygen levels after 5 minutes of bicycle exercise. The following is some R code and output using the "t.test" function. > t.test (normoxia, mu=3, alternative="less") One Sample t-test data: normoxia t = -2.5751, df = 9, p-value = 0.01497 alternative hypothesis: true mean is less than 3 95 percent confidence interval: -Inf 2.85968 sample estimates: mean of x 2.513 At the 0.05 significance level, identify the correct interpretation for the conclusion in the context of the setting for the hypothesis test done in the t.test output above (step 6 of a hypothesis test). O a. There is significant evidence to conclude Myocardial blood flow tends to be greater than 3 for cyclists after 5 minutes of bicycle exercise. Ob. There is significant evidence to conclude Myocardial blood flow tends to be less than 3 for cyclists after 5 minutes of bicycle exercise. Oc. There is significant evidence to conclude Myocardial…
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The Z-score tells you the number of standard deviations away from the mean (and in what direction) a data value is. The formula: Z = *- can be used to find the Z-score for a single member of the population. Notice X - μ tells you the signed distance the data value (X) is from the mean. When you divide that by the size of each chunk (the standard deviation) you are measuring the distance in units of the size of the standard deviations (how many standard deviations fit in the distance between the data value and the mean) - which gives you the Z-score. The formula X = μ+Z.o can be used to find the value in the population when given the Z-score (signed number of standard deviations). Notice that Z. tells you how far from the mean the data value is (since Z is the number of standard deviations and is the size of each standard deviation the product tells the total distance). So adding the distance from the mean to the mean gives the location along the number line for the data value. A…

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Coefficients: Estimate Std. Error t value Pr(>Itl) 4248.71 17.201 97.43 (Intercept) 73082.38 2e-16 *. age 0.0498 . > mean(dataSincome) [1] 81030.3 > mean(data$age) [1) 41.54 > cor(data$income, data$age) i]0.06335362