Perform a linear regression analysison the following data and determinethe "a" coefficient (i.e., slope):Y4.9922.191.969.892.9811940.464.0418.936.06250.880.198.0234.026.9728.03

Let the linear regression line is Y = aX + b, Where, a is slope And b is Y-intercept

Answered: Perform a linear regression analysis on…

Math

Probability

Perform a linear regression analysis on the following data and determine the "a" coefficient (i.e., slope):

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.4: Linear Regression

Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

See similar textbooks

Similar questions

Find the mean hourly cost when the cell phone described above is used for 240 minutes.
Life Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?
Find the regression line of the points: (12.7, 18.7), (9.1, 17.2), (15.3, 14.5), (19.5, 12.9)
A regression was run using 11 subjects to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: Regression Equation....... y=b0+b1xy=b0+b1x Slope..................... b1=−1.282b1=-1.282 y-Intercept............... b0=38.871b0=38.871 Sample size............... n=11n=11 Correlation Coefficient... r=−0.79r=-0.79 Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place)
Calculate the simple linear regression to determine if the amount of sleep (y) can be predicted by time spent on homework (x). Graph the relationship and determine, numerically, if there are any outliers. Interpret all results in a paragraph citing the appropriate statistics. Sleep in minutes (Y): 360,400,420,440,540,480,320,440,360,420,420,390,360,480,360,360,480,420,360,480,270,360,420,360,420 Homework in minutes (X): 30,45,60,15,75,120,80,60,100,45,60,50,60,120,60,60,60,60,90,180,165,90,60,60,90
When a linear regression for the growth of the number of employees in the health care and social assistance fields in Quebec from 2010 to 2014 is performed, the following values are determined: r=0.9948 r2=0.9897 These values indicate that a linear model is a good fit for the data. True False
Type the regression equation for “Area” and “Biomass” in context into your document. Interpret the slope of the regression line (in context of this data set) for “Area” and “Biomass”. is it meaningful to interpret the y-intercept for “Area” and “Biomass”? Why or why not?
The following regression model shows the relationship between selling price of a house(y) and the number of bedrooms(x); y=100+0.6x. Another separate regression between selling price of the house(y) and the level of crime per week in the neighborhood(x); y=100+0.3x. Draw the regression line for the first and second regression. Write an interpretation for the slope coefficient in the first and second regression. Be specific. What is the estimated value of the price of a house which has two bedrooms.
Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the total cost of the lot (in $100's). Regression analysis of the data yielded the following tables. Coefficients Standard Error t Statistic p-value Intercept 3.996 1.161268 3.441065 0.004885 x 0.358 0.102397 3.496205 0.004413 Source df SS MS F Se = 0.898 Regression 1 9.858769 9.858769 12.22345 r2 = 0.526341 Residual 11 8.872 0.806545 Total 12 18.73077 Using a = 0.05, Louis should ________________.
Draw the regression line for the following equation: Y = -3 + (1) X Show your calculation for a low and high value on the predictor value.