Based on the data shown below, calculate the regression line (each value to two decimal places) у- х+ х у 3 27.55 24.24 4 25.13 6 23.12 22.61 21.9 19.09 16.08 10 11 18.37 12 15.56 13 15.85 11.94 14 15 10.73 11.22 16 9.01 17 18 8.7 LO

Based on the data shown below, calculate the regression line (each value to two decimal places) у- х+ х у 3 27.55 24.24 4 25.13 6 23.12 22.61 21.9 19.09 16.08 10 11 18.37 12 15.56 13 15.85 11.94 14 15 10.73 11.22 16 9.01 17 18 8.7 LO

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

Related questions

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: We have given that, X :- 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 Y:- 24.96, 26.18, 30.3,…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y% =…

A: The required regression equation of Y on X is, y=a+bxwhere,a=y-interceptb=slope of the…

Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…

A: Given data: x y 4 14.68 5 18.7 6 19.42 7 22.74 8 26.56 9 27.68 10 31.1 11 34.02…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: From given data, X Y X*Y X*X 5 39.05 195.25 25 6 34.94 209.64 36 7 32.63 228.41 49 8…

Q: Annual high temperatures in a certain location have been tracked for several years. Let XX represent…

A: We have given that X: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 Y:…

Q: Based on the regression equation, what would be the predicted weight of a student who is 64 inches…

A: We need to find the predicted weight of a student with height of 64 cm. The regression line is given…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: Given data, X Y X*Y X*X 4 8 32 16 5 8.8 44 25 6 9.4 56.4 36 7 7.5 52.5 49 8 7.5 60 64…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: From the provided information, x y 5 11.3 6 12.52 7 11.54 8 12.86…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: xy534.64630.38729.62827.06925.61024.141121.881223.521321.861420.1

Q: Based on the data shown below, calculate the regression line. y 1 44.75 2 43.56 40.27 4 34.98 33.19…

Q: The regression line that gives the linear relationship between the magnitude of the earthquake and…

A: Regression equation has two regression coefficients, they are slope and intercept. Slope comes…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: Regression Equation: When we want to predict the value of one variable, say y, from the given value…

Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…

A: Given that X Y X \cdot YX⋅Y X^2X2 Y^2Y2 1 17.57 17.57 1 308.7049 2 20.04 40.08 4…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: From the provided information, The table is as follow: x y 2 7.52 3 8.03 4 11.04 5 15.55…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

Q: Based on the data shown below, calculate the regression line (each value to one or two decimal…

Q: Annual high temperatures in a certain location have been tracked for several years. Let X represent…

A: Given, x y 2 19.06 3 21.54 4 23.52 5 25.3 6 27.18 7 32.16 8 32.84 9 34.42 10…

Q: The following table shows the annual family income of the students enrolled in the JRMSU-TC and…

A: Solution-: Let, X=Annual family income (Pesos) (in '000) and Y=General weighted average (%) We have…

Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…

Q: Find the 95% confidence interval for the average number of sick days an employee will take per year,…

A: The estimated regression equation is Sick Days=14.310162-0.236900Age and the standard error is…

Q: 15,66 13.72 7. 13.18 15.04 16 10 14.26 12.42 12 13.78 12.84 11 13 14 15.3 S6

A: Given, X Y 5 15.66 6 13.72 7 13.18 8 15.04 9 16 10 14.26 11 12.42 12 13.78 13…

Q: Use the following data to perform a regression analysis. What is the null hypothesis? What is the…

A: Given that X Y X \cdot YX⋅Y X^2X2 Y^2Y2 1 132 132 1 17424 2 131 262 4 17161 3 134…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: X Y (X-Xbar) (Y-Ybar) (X-Xbar)^2 (X-Xbar)(Y-Ybar) 67891011 14.5514.6810.817.145.473.7…

Q: Based on the data shown below, calculate the regression line. 2 10.02 3 11.58 4 9.84 5 9.3 9.46 7…

Q: Annual high temperatures in a certain location have been tracked for several years. Let X represent…

A: The given data, x y 3 4 5 6 7 8 9 10 11 12 13 14 15 16 11.35 12.5 13.85 13.8 13.85 17.7…

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: Given: The Given data Table:

Q: Here is a bivariate data set. Find the regression equation for the response variable y. x y 76 40.7…

A: Step-by-step procedure to find the regression line using Excel: In Excel sheet, enter x and y in…

Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…

A: The following data for the X and Y variables are provided to construct linear regression model: X…

Q: Given the following data set A B C 1 Month Rainfall (mm) Umbrellas sold 2 Jan 82 15 3 Feb 92.5 25 4…

A: The given data is : Month Rainfall Umbrellas sold Jan 82 15 Feb 92.5 25 March 83.2 17…

Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…

Q: Based on the data shown below, calculate the regression line (show each value to two decimal places)…

A: The regression line is Y = a+bX

Q: Based on the data shown below, calculate the regression line (each value to at least two decimal…

A: The regression equation is ŷ= bx + a

Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…

A: Given data, X Y X*Y X*X 1 6.96 6.96 1 2 5.42 10.84 4 3 3.88 11.64 9 4 7.44 29.76 16 5…

Q: What is the population? What is the dependent variable? What is the…

A: The given statement is- A professor at the University of Alabama was interested in evaluating the…

Q: Why do you need to know the sampling distribution of the difference between two sample means in…

A: In this case, we need to find the reason for identifying the sampling distribution of the difference…

Q: A sample has 11 paired observations, Use the xas the independent variable and the y as the dependent…

Q: Based on the data shown below, calculate the regression line (show each value to two decimal places)…

A: Consider the following table-

Q: 51.8 4,590 12.2 1,159 271 17,685 46.2 3,742 58.2 5,108 46.2 3,742 29.1 1,714 What is the linear…

A: From the given information the estimated regression equation is,Where,…

Question

Based on the data shown below, calculate the regression line (each value to two decimal places)
у-
х+
х
у
3
27.55
24.24
4
25.13
6
23.12
22.61
21.9
19.09
16.08
10
11
18.37
12
15.56
13
15.85
11.94
14
15
10.73
11.22
16
9.01
17
18
8.7
LO

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
Find the regression equation: choices of correct answer: a. y=91.533+9.905x b. y=81.533+8.805x c. y=101.533+10.905x d. y=71.533+7.705x
A regression was run to determine if there is a relationship between hours of study per week (xx) and the test scores (yy).The results of the regression were:y=ax+b a=5.89 b=34.42 r2=0.837225 r=0.915 Use this to predict the final exam score of a student who studies 6 hours per week, and please round your answer to a whole number.
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 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: уах+ b a = -1.098 b = 37.154 r2 = 0.444889 r = -0.667 Use this to predict the number of situps a person who watches 11 hours of TV can do. situps = [one decimal accuracy]
For each gender, estimate an earnings regression where the dependent variable is Annual Earnings and the independent variable is Age. Report the results for each regression, and provide an interpretation of the coefficient associated with age. Female- annual earning: 49347.58 age: 42.81 education: 14.4 Male- Annual earning: 69984.54 age: 42.86 education: 14.11.
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.218 b=34.15 r2=0.3969 r=0.63 Use this to predict the final exam score of a student who studies 9.5 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.883 b=30.476 r2=0.660969 r=-0.813 Use this to predict the number of situps a person who watches 8 hour(s) of TV can do, and please round your answer to a whole number.
A regression was run 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: y=ax+b a=-0.711 b=30.651 r²-0.670761 r=-0.819 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)
The given paired data lists the heights (in inches) of various males who were measured on their eighth and sixteenth birthdays. Height (8 yrs) 52 50 48 51 51 48 (x) Height (16 yrs) 69 66 64 67 69 65 (y) Determine the residual value for an x of 48 and explain its meaning.
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. Right Arm 102 101 95 75 75 Left Arm 174 169 147 144 144 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = X. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is (Round to one decimal place as needed.) mm Hg. Enter your answer in each of the answer boxes. F12 F9 F10 F11 F8 888 F4 F6 F7 DOO F5 esc F2 F3 F1 & @ 2$ delete 6. 7 8. 9. 2 4 Y U Q E tab enter K retur F A caps lock N P 工 LU # 3
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 90 mm Hg. Use a significance level of 0.05. Right Arm 102 101 93 78 77 Left Arm 176 170 144 144 145 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y =+ x. (Round to one decimal place as needed.)