Question 2:For the following data.X Y2 -13 36 778982 35 611 1112 1414 163 311 13(a) Compute the Q correlation, showing your working (in terms of the key steps).(b) Imagine I made a mistake in the last value. I should add 5 to the X value of thatpoint. Will the Q correlation change? Please explain.

First, we draw the Scatterplot for the given data as follows:

Answered: Question 2: For the following data. ΧΥ…

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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What is the correlation between happiness and volunteer hours? Enter your value with three decimal places; do not include a zero to the left of the decimal point (i.e., .001, not 0.001, not .01, not .1). You only need to include the direction sign for a negative correlation.
Data for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old 30 22 23 31 27 21 20 19 28 16 New 25 18 25 26 23 18 17 16 31 19 Based on the previous values you found, what can you conclude regarding the linear correlation between the Old and New test method? Since the absolute value of r is ____________ the positive critical value, there _____________ between the Old and New test method for fuel economy rating.
1. The chart of data represents the heart rate (beats per mimute) of a jogger over time (minutes). Time (Min) 1 3 4 6. 7. 8. BPM 81 84 86 91 97 102 108 112 la. Write the cquation of the Line of Best Fit Your answer 1b. What is the correlation coefficient? Your answer
Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
Consider the following table of data. 2 3 4 y 1 1 1 1.1 (a) Calculate the correlation coefficient. (b) Sketch a graph of the data. (c) Based on how closely the data fits a straight line, is your answer to part (a) surprising? Discuss the extent to which the correlation coefficient describes how well the data fit a horizontal line.
The following table shows the number of units of a certain item sold by a store over a month in terms of the price in dollars charged by the store. Price in dollars 0.90 1.00 1.15 1.25 1.40 Number sold . 315 280 230 215 195 Use technology to find the correlation coefficient for the data. (Use decimal notation. Give your answer to two decimal places.) correlation coefficien What type of correlation is there between the price and the number sold?
This is a continuation of the last question I posted: f. The value of linear correlation coefficient r is i. 0.948 ii. 0.974 iii. -0.948 iv. -0.974 g.Based on your answer in part (f), the linear dependance between weekly exercise time and change in cholesterol level is strong negative i. True ii. False H. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent confidence interval for change in cholesterol level is (197.3, 225.4). This means that: i. If one person exercises 460 minutes per week, his/hers change in cholesterol level will be between 197.3 and 225.4 with 95 percent certainty.ii. If several people exercise 460 minutes per week, their average change in choles- terol level will be between 197.3 and 225.4 with 95 percent certainty. I. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent prediction interval for change in cholesterol level is (155.1, 267.6). This means that i. If one person…
Would you say the correlation is positive or negative? positive O negative (c) Use a calculator to verify that Σ * Ex=61, Ex Computer. (Round your answer to four decimal places.) 0.9802 Need Help? cloudy = 1007, x2 = 1007, Σy = 634, Σ Master It As x increases from 3 to 23 months, does the value of rimply that y should tend to increase or decrease? Explain y O Given our value of r, y should tend to decrease as x increases. Given our value of r, y should tend to increase as x increases. Given our value of r, we can not draw any conclusions for the behavior of y as x increases. O Given our value of r, y should tend to remain constant as x increases. Q Search = 14 mmm 90,298, and Exy = 9,315. hp 9 |99+ X
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