In a regression model involving 30 observations, the following estimated regression equation was obtained. ŷ = 170 + 34x1 – 3x2 + 8x3 + 58x4 + 3x5 For this model, SSR = 1,740 and SST = 2,000. The coefficient of determination for this model is _____. a. .6923 b. .8700 c. .1494 d. .1300

In a regression model involving 30 observations, the following estimated regression equation was obtained. ŷ = 170 + 34x1 – 3x2 + 8x3 + 58x4 + 3x5 For this model, SSR = 1,740 and SST = 2,000. The coefficient of determination for this model is _____. a. .6923 b. .8700 c. .1494 d. .1300

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

Related questions

Q: Given the regression equation Y = 43 - 10X, the predicted value of Y when X = 9 is O a. -47 O b. -90…

A: The linear regression model is given as Y=43-10X, Now, when X=9, then the predicted value is…

Q: equation of the regression ine is yDO und to two decimal places as needed) nstruct a scatter plot of…

Q: Given the following multiple regression equation : y = 122+ 2 x1 +1x2, where Y:Total expenses, X;:…

Q: ind the regression equation, letting the first variable be the predictor (x) variable. Find the…

A: Solution: Let x= Internet users per 100 and y= Nobel Laureats n=…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Givena=-0.816b=24.08r2=0.494209r=-0.703y=ax+b

Q: The data show the chest se and wigf severbean Fed e ngrsion eqution ting chest se be he ndepandent…

A: Create a table with column labels x, y, xy, x2, and y2 . x y xy x2 y2 58 425 24650 3364 180625…

Q: Given the following multiple regression equation : y = 122+ 2 x + 1x2, where Y:Total expenses, X:…

Q: accompanying data are the length (in centimeters) and girths (in centimeters) of 12 harbor seals.…

A: Given data, X Y X*Y X*X 136 107 14552 18496 168 130 21840 28224 152 115 17480 23104 145…

Q: The relationship between income a and expenditure y was estimated by the following regression…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given ,a=23.237b=-1.168r=-0.613Regression equation is y=a+bx

Q: 10. Run each listed regression for the data set and determine which model is best. Hours Studied…

A: From the given information, hours studied(x)Test score(y)1780753901.5892.75971850.581280

Q: Refer to the data set: Part a: Make a scatterplot and determine which type of model best fits the…

A: If the data lies on a straight line, or seems to lie approximately along a straight line, a linear…

Q: The table contains the state population and the number of licensed drivers in the state (both in…

A: The regression model models the state population and the number of licensed drivers.The aim is to…

Q: Find the regression equation, letting the first variable be the predictor (x) variable. Find the…

A: from the given information we make the following table to compute regression equation x y x2 y2…

Q: find the intercept (b0) for the regression equation for the following values. Round to 3 decimal…

A: Given that X Y X \cdot YX⋅Y X^2X2 Y^2Y2 33 180 5940 1089 32400 25 170 4250 625 28900…

Q: A regression was run using 11 subjects to determine if there is a relationship between hours of TV…

Q: In a regression model involving 30 observations, the following estimated regression equation was…

A: Given SSR = 1,740 SST = 2,000. N=number of observation=30, K=Number of explanatory variables…

Q: : Use the linear regression formulas to find the slope (a1) and the intercept (?0) of the best fit…

A: Given information:Data points:y-3.3-7.1-9.8-12.3-14-21.4-21.3-28.6-2To find:The slope of the…

Q: please include how I would solve in desmos if possible thank you! A regression was run to determine…

A: Introduction: Regression analysis is used measure the association between two are more variables…

Q: For the data given below: a. Determine if there is any relationship between the two variables. b. If…

Q: A study was done to look at the relationship between number of lovers college students have had in…

A: Let X be the explanatory variable such that the number of lovers college and Y be the predicted…

Q: Heights (in centimeters) and weights (in kilograms) of 7 supermodels are given below. Find the…

A: xy17654168501725217455166471785717655TOTAL : 1210370Sample size : n = 7Mean are calculated as:

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Solution: Let X be the hours of TV watched per day and Y be the number of sit-ups a person can do.…

Q: Q2) Convert the data in table below into information using regression approach. X 1 2 3 4 5 6 Y 6 1…

A: Given that, X- 1,2,3,4,5,6 Y- 6,1,9,5,17,12 We have to find regression equation y= a+bx

Q: Refer to the data in the table: x y -3 0 -2 0 -1 1 0 1 1 3 2 4 Part a: Make a scatter plot and…

A: Data visualization is the process of denoting the numerical data visually. Data visualization can be…

Q: The following MINITAB output is for a multiple regression. Something went wrong with the printer, so…

A: To fill in the missing values: (a) The value for the constant (intercept) is 0.086. (b) The value…

Q: Find the equation of the regression line for the given data:

A: Linear regression model A linear regression model corresponds to a linear regression model that…

Q: Wine Consumption. The table below gives the U.S. adult wine consumption, in gallons per person per…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…

Q: Find the regression equation, letting the first variable be the predictor (x) variable. Using the…

A: It is assumed that x denotes the age of actress and y denotes the age of actress.The data for x and…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (X)…

A: Given - A Regression was run to determine if there is a relationship between hours of TV watched per…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: It is given that the value of a is –1.152 and b is 30.418.

Q: Find the regression equation, letting the first variable be the independent variable x. Round to 3…

A: In question, Given some data and using this data we'll find the regression equation. The solution is…

Q: y 96 99 81 47 71 78 72 34 50 66 94 85 77 82 99 99 67 68

Q: . Compute the regression equations: X = 1 2 3 4 5 6 7 8 9 y = 9 8 10 12 11 13 14 16 15

A: Given, X Y X.Y X.X 1 9 9 1 2 8 16 4 3 10 30 9 4 12 48 16 5 11 55 25 6 13 78 36 7…

Q: Use this to predict the number of situps a person who watches 9.5 hours of TV can do (to one decimal…

A: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

Q: Refer to the data set: (-1, 2), (1, 3), (1, 5), (2, 7), (3, 8), (4, 11) Part a: Make a scatter plot…

Q: Determine the regression equation for the data. Round the final values to three significant digits,…

A: Given data, X Y X*Y X*X 0 8 0 0 3 2 6 9 4 6 24 16 5 9 45 25 12 12 144 144

Q: Refer to the data set: x -1 1 -2 3 0 2 y 9 2 15 1 4 1.5 Part a: Make a scatterplot and determine…

A: A scatterplot is a set of data points on the coordinate plane. Any point on the Cartesian coordinate…

Q: The accompanying data are the length (in centimeters) and girths (in centimeters) of 12 harbor…

A: Given : sr.no X Y 1 137 107 2 168 130 3 153 115 4 144 107 5 160 124 6 158 120…

Q: How many independent variables are involved in a multiple regression equation? a. One b.…

A: How many independent variables are involved in a multiple regression equation? when there is one…

Q: a. Find the regression equation for the data points. b. Graph the regresson equation c. Describe…

A: As per our guidelines, we are allowed to answer three sub-parts: Given Data X Y 10 93 13 79…

Question

In a regression model involving 30 observations, the following estimated regression equation was obtained.

ŷ = 170 + 34x₁ – 3x₂ + 8x₃ + 58x₄ + 3x₅

For this model, SSR = 1,740 and SST = 2,000.

The coefficient of determination for this model is _____.

a. .6923

b. .8700

c. .1494

d. .1300

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

SEE SOLUTION Check out a sample Q&A here

Similar questions

Give the equation of the regression line: -913.2969+0.4808years(y) a) Plug an actual x value into the equation and discuss the difference between the real y and the predicted yb) Discuss the domain of your datac) Include the scatterplot with line of best fit
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=-0.982 b=31.084 r2=0.471969 r=-0.687 Use this to predict the number of situps a person who watches 13.5 hours of TV can do (to one decimal place)
Consider the following regression equation: y = -3.9 + 7.2x What does 7.2 depict in the regression equation above? a) The direction of the line. b) The y-intercept. c) The point where x = 0. d) The y when x = 7.2.
A math professor selects 8 students at random from her calculus class and asks them to record their study times. After two weeks, she gives an exam. the number of hours, x, of study time and the test score, y, yield the following sample data summary: Ex = 117 Ey = 660 8 %3| n 3= Ea2 = 1869 54638 9519 The professor is a bit surprised. a) Find the equation of the regression line. b) Use the regression line to predict the score of a student who studies for 20 hours over the two weeks.
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=-1.34 b=36.954 r2=0.966289 r=-0.983 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
For the given data below, Solve, a. Find the regression equation, y = b0 + b1x.b. If x = 170 orders, how many shipments are expected?
The accompanying data are the length (in centimeters) and girths (in centimeters) of 12 harbor seals. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=140 cm (b) x=172 cm (c) x=164 cm (d) x=158 cm Length, x Girth, y138 106168 130153 116144 105159 126158 119124 103137 103154 121148 111147 106145 110 The equation of the regression line is y=____x + ___
:::.
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=a+bx b=-0.993 a=29.135 r2=0.463761 r=-0.681 Use this to predict the number of situps a person who watches 6 hours of TV can do. Round to one decimal place.
Find the intercept (b0) for the regression equation for the following values. Round to 3 decimal places. Intercept xi yi 33 180 25 170 50 200 65 172 57 160 27 165
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 = a x + b a = -1.043 b = 29.088 %3D %3! r2 = 0.390625 r = -0.625 Use this to predict the number of situps a person who watches 6.5 hours of TV can do. situps : %3D [one decimal accuracy1