kWh 48 59 37 50 63 54 43 48 55 40 52 38 45MPG 20 14 52 23 16 19 29 21 34 17 16 36 19A. What is the mean and standard deviation for the Electricity use in this sample? Roundanswers to three decimal places as needed.Mean:48.615kWhStandard deviation:7.984kWhB.r =I Round to two decimal laces. Is this a positive or negativelinear correlation? Why? Include your answer in your upload file.C. Find the equation of the least squares regression line: y=D. What does the regression line predict for the gas mileage of the main household carfor a home that uses 60 kWh per day?mpg. Round to two decimalplaces.E. For 13 data pairs, the critical value table says that |r .684 for the linear co relationto be significant at the 1% level of significance. In the upload file, state whether thiscorrelation is significant and justify your answer.99hp

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Description: kWh 48 59 37 50 63 54 43 48 55 40 52 38 45MPG 20 14 52 23 16 19 29 21 34 17 16 36 19A. What is the mean and standard deviation for the Electricity use in this sample? Roundanswers to three decimal places as needed.Mean:48.615kWhStandard deviation:7.

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kWh 48 59 37 50 63 54 43 48 55 40 52 38 45 MPG 20 14 52 23 16 19 29 21 34 17 16 36 19 A. What is the mean and standard deviation for the Electricity use in this sample? Round answers to three decimal places as needed. Mean: 48.615 kWh Standard deviation: 7.984 kWh B. r = I Round to two decimal laces. Is this a positive or negative linear correlation? Why? Include your answer in your upload file. C. Find the equation of the least squares regression line: ŷ= + D. What does the regression line predict for the gas mileage of the main household car for a home that uses 60 kWh per day? mpg. Round to two decimal places. E. For 13 data pairs, the critical value table says that |r > .684 for the linear c relation to be significant at the 1% level of significance. In the upload file, state whether this correlation is significant and justify your answer.

kWh 48 59 37 50 63 54 43 48 55 40 52 38 45 MPG 20 14 52 23 16 19 29 21 34 17 16 36 19 A. What is the mean and standard deviation for the Electricity use in this sample? Round answers to three decimal places as needed. Mean: 48.615 kWh Standard deviation: 7.984 kWh B. r = I Round to two decimal laces. Is this a positive or negative linear correlation? Why? Include your answer in your upload file. C. Find the equation of the least squares regression line: ŷ= + D. What does the regression line predict for the gas mileage of the main household car for a home that uses 60 kWh per day? mpg. Round to two decimal places. E. For 13 data pairs, the critical value table says that |r > .684 for the linear c relation to be significant at the 1% level of significance. In the upload file, state whether this correlation is significant and justify your answer.

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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#32 psych stats: standard deviation show full work
The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. ... Interpret the correlation. Choose the correct answer below. O A. Aging causes the number of words in children's vocabulary to increase. B. Based on the correlation, there does not appear to be any relationship between children's ages and the number of words in their vocabulary. O C. Based on the correlation, there does not appear to be a linear relationship between children's ages and the n O D. Aging causes the number of words in children's vocabulary to decrease. CE. As age increases, the number of words in children's vocabulary tends to increase. there is a significant linear correlation O F. As age increases, the number of words in children's vocabulary tends to decrease. there is no correlation (d) Use the…
Question Help Suppose you buy a new car whose advertised mileage is 20 miles per gallon (mpg). After driving your car for several months, you find that its mileage is 15.5 mpg. You telephone the manufacturer and learn that the standard deviation of gas mileages for all cars of the model you bought is 1.21 mpg. a. Find the z-score for the gas mileage of your car, assuming the advertised claim is correct. b. Does it appear that your car is getting unusually low gas mileage?
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
Years Height (cm) 0.9 0.79 2.0 3.98 2.1 4.81 4.0 11.41 4.8 29.72 5.2 24.2 6.2 26.81 9.0 91.47 9.1 129.45 Find the correlation coefficient and coefficient of determination for the data. Assess how well the line fits the data.
(e)
Page 2 of 5 B. Organizing and Working with Data. 1. Find the z-score for the weight of a 155-pound woman. The mean weight of woman age 20 or older is 170.6 pounds with a standard deviation of 5.4 pounds. Round your answer to two decimal places.
Answer D questions only
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Which number below is representative of the largest correlation? r = -0.75 r = .05 r = -0.45 r = 0.65