A grocery store is interested in how customers' income affects the amount of moneythey spend each week. A regression analysis is performed to test this analysis. Theresults of the analysis are that the intercept is $17.80 and the slope is 0.0012. Basedon these results, what is the predicted weekly grocery expenditure (to the nearestcent) for a household with an income of $65,000?$95.80O$78.00$45.23$17.80Ho: mean weekly expenditure = $78.00

Answered: Image /qna-images/answer/f018d00d-4981-4c59-a1cc-b8b745d6f783.jpg

Answered: results of the analysis are that the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Estimate the slope of the line. y 10 9 8 7 6 5 4 3 2 1 1 72 3 4 5 6 7 8 9 10
Old Faithful, the most reliable geyser in Yellowstone National Park can shoot up to 8,400 gallons of boiling water to a height of about 150 feet. More than 1,000,000 eruptions have been recorded. There is evidence that eruptions of Old Faithful can best be predicted by knowing the duration of the previous eruption. The results from regression analysis of Waiting Time (minutes) between eruptions versus Duration (minutes) of the previous eruption for a random sample of 222 eruptions are shown below. Waiting Time 95 Statistic Duration WaitingTime Mean 3.576 71.009 75 Standard Deviation 1.084 12.799 55 Sample Size 222 35 Correlation 0.877 1.5 2.5 3.5 Duration 4.5 5.5 Slope 10.358 Intercept 33.967 Predictor Coef SE Coef T P Intercept 33.967 1.428 23.79 0.0000 Duration 10.358 0.382 27.10 0.0000 Predicted Values for New Observations Duration Fit 4 75.4 SE Fit 0.444 95% CI 95% PI (74.5, 76.3) (63.2, 87.6) 1. At the 0.05 level of significance, is there evidence of a linear relationship between…
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 R² = 0.9302 40 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year Use the equation for the trend line to estimate women's earnings as a percentage of men's earnings in 2000. (Round to the tenths place.) Percentage
The following scatter-plot shows the decreasing trend in Motor Vehicle Theft. Interpret (using a sentence) the slope. Motor Vehicle Theft 1,800,000 1,600,000 y = -195,848x + 1,841,017| 1,400,000 1,200,000 1,000,000 800,000 600,000 400,000 200,000 1985 1990 1995 2000 2005 2010 2015 2020 Year Between 1990 and 2104 Motor Vehicle Thefts decrease by a total of 195,848 Between 1990 and 2014 the total number of Motor Vehicle Thefts decreased by 195,848 to a reach a total of 1,841,017 in 2014 Between 1990 and 2014 the total number of Motor Vehicle Thefts was 1,841,017 Between 1990 and 2014 the average yearly decline in Motor Vehicle Deaths was 8,160/ year Between 1990 and 2014 the number of Motor Vehichle Thefts decreased on average by 195,848 per year Number of vehicle thefts
Part c?
What is the equation of the line using the table ?
Solve for the slope, y-intercept, equation of the trend line, the correlation coefficient, and the coefficient of determination for the following the data set. Show your work and explain the steps you used to solve. Round your answer to the nearest hundredth.
Test for a significance of the positive slope. Use =0.05. State your decision and conclusion. a. Fail to reject Ho. No evidence for a positive slope. b. Fail to reject Ho. There is evidence for a positive slope. c. Reject Ho. No evidence for a positive slope. d. Reject Ho. There is evidence for a positive slope.
The ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 54.22) (2000, 52.13) (1988, 53.23) (2004, 52.14) (1992, 52.94) (2008, 51.42) (1996, 52.80) (2012, 51.30) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let t = 84 represent 1984. (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y = (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y =
The slope is 1.045, the question is, what does the slope tell us about the data?
Option C is incorrect

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

results of the analysis are that the intercept is $17.80 and the slope is 0.0012. Based on these results, what is the predicted weekly grocery expenditure (to the nearest cent) for a household with an income of $65,000? $95.80 $78.00 $45,23