Research was conducted on the amount of oxygen runners could utilize during training, known as their VO2max, and their finishing times for a 5K race to see if there was a significant relationship between these variables.The results for 8 runners were compiled and placed in the following table.VO2 Max (ml/kg/min) (x)5K Finishing Time (min) (y)16.2834.6620.5537.4118.6234.1115.7837.3618.1237.5639.4923.726.8828.7243.3920.69Calculate the correlation coefficient. Round to three decimals.Find the equation of the regression line. Round each value to two decimalsPreviewPredict the time in the 5K for a runner whose VO, max is 30.12 ml/kg/min. Round your answer to two decimalsGet Help:VIDEO

Given data is VO2 Max(ml/kg/min)(x) 5k Finishing Time(min)(y) 16.28 34.66 20.55 37.41…

Answered: Research was conducted on the amount of…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A recent experiment included measuring the weight of a package of raw almonds. This type of data would be considered a: Discrete variable or Continuous variable?
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In an attempt to develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12 wines, a model was created using the percentages of alcohol to predict wine quality. For those data, SSR=19,812 and SST=30,298. Use this information to complete parts (a) through (c) below. a. Determine the coefficient of determination, r2, and interpret its meaning. r2=enter your response here (Round to three decimal places as needed.) Interpret the meaning of r2. It means that enter your response here% of the variation in ▼ alcohol content wine quality can be explained by the variation in ▼ alcohol content. wine quality. (Round to one decimal place as needed.) b. Determine the standard error of the estimate. SYX=enter your response here (Round to four decimal places as needed.) c. How useful do you think this regression model is for predicting wine…
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Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The variables used are: fare-avg price of a one-way fare, in dollars dist- distance of the flight, in miles .reg fare ldist. Source Model Residual 551.391705 Total lfare SS ldist _cons 875.094374 df The OLS results suggest that 1 323.702668 120024315 4,594 MS Coef. Std. Err. 4,595 190444913 Number of obs F(1, 4594) Prob > F R-squared Adj R-squared Root MSE t P>|t| .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 4,596 2696.98 0.0000 0.3699 0.3698 .34645 [95% Conf. Intervall .3873676 .4177617 2.297575 2.502093 a 1% increase in distance is associated with approximately a $.40 increase in the price of the fare. a 1% increase in distance is associated with approximately a .40% increase in the price of the fare. a 1% increase in distance is associated with approximately a 40 % increase in the price of the fare. None of the above.
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