Answered: A linear regression equation has b = 3…

A linear regression equation has b = 3 and a = – 6. What is the predicted value of Y for X = 4? Group of answer choices Ŷ = 6 Ŷ = –21 Ŷ = –2

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 14SBE: 3.4 SKILL BUILDING EXERCISES Getting Regression Lines Only Find the equation of the regression line...

See similar textbooks

Related questions

Q: Suppose that R2 = 0 for a data set. What can you say abouta. SSE?b. SSR?c. the utility of the sample…

A: The formula for coefficient of determination is given as follows:

Q: In a study, the simple linear regression equation was found as y = - 2.65 + 3.23 * Accordingly, if…

A: Given, y=-2.65+3.23x If x=1.55 then y=?

Q: Given a regression equation ?) = 2.35 + 6.82x, with n = 18 and a correlation coefficient, r = 0.42,…

A: The following is the formula for the test statistic of correlation coefficient 'r' t=rn-21-r2 Here,…

Q: Find the value of s in a simple linear regression model if SSE = 175 and n = 27. O 7 24 148 6.4

A: The variance is calculated ass2=SSEn-1

Q: Consider the computer output below The Regression equation Y = 253.8 + 2.77 x1 - 3.58 x2 Predictor…

Q: Based on the data from six students, the regression equation relating number of hours of preparation…

A: Given regression equation is y^=67.3+1.07xr=0.224y=75.2

Q: How many independent variables are there in simple linear regression analysis? 1 2…

A: The estimated model for a simple linear regression analysis is y=α+βx, where y is the dependent…

Q: Below is an attempt at describing the simple linear regression model, which is incomplete and…

A: Mistake 1: The values of i are considered to be finite till n. Here the value of n is not defined…

Q: The prelim grades (x) and midterm grades (y) of a sample of 10 MMW students is modeled by the…

A: Solution

Q: In a study, the simple linear regression equation was found as y = 3.02 - 10.30 * x. Accordingly, if…

A: y = 3.02 - 10.30x x = 7.74

Q: Use the given data to find the best predicted value of the response variable. Ten pairs of data…

A: Solution: From the given information, the regression equation is y=2+3x.

Q: In a study, the simple linear regression equation was found as y = - 0.376 + 3.213 * x. Accordingly,…

Q: interaction ratings was Ŷ=-.543X+16.987 The regression equation for the prediction of children's…

A: Given Regression equation isy^=-0.543(X)+16.987

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

A: Given regression line: Y =43-10X

Q: se the given data to find the best predicted value of the response variable. Four pairs of data…

A: We have given that, r = 0.942 and regression equation y= 3x Also, y = 12.75. Then x We will find…

Q: A linear regression equation has b = 2 and a = 3. What is the predicted value of Y for X = 8? a. Y =…

A: It is given that a =3 and b =2.

Q: A set of n=15 pairs of scores (X and Y values) has a SSX = 15 and SP = -60. If the mean for the X…

Q: Which of the following linear regression equations is the best fit for the data shown? Which of the…

Q: Eight pairs of data yield r = 0.708 and the regression equation v= 55.8+2.79x. Also, v=71125. What…

A: Linear regression is a linear approach to model the relationship between a dependent variable and…

Q: Use the following linear regression equation to answer the questions. x1 = 1.9 + 4.0x2 – 7.5x3 +…

Q: We would like to study the relationship between the number of family members in a household x and…

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: 2. You conduct a linear regression in which the number of hours per week spent exercising is used to…

A: Regression predicts the future over the period of a time. It has two variable they are independent…

Q: Suppose the simple linear regression model, Y; = Bo + B1 xi + E;, is used to explain the…

A: Simple linear regression model is given by yi=β0 + β1 xi+εi The simple linear regression model is…

Q: The block of code below produces a simple linear regression model using "miles per gallon" as the…

Q: fitted linear regression equation is ŷ = 6–2x. If x = 3 and the corresponding observed value of y =…

A: The general form of the regression equation is: y^=b0+b1x Here, y = predicted value of y b0 =…

Q: A linear regression model has been estimated for the variables Y="monthly consumption of veal (kg)",…

A: The provided information is Y=monthly consumption of veal (kg) X1=monthly monetary household income…

Q: 9) The regression equation relating attitude rating (x) and job performance rating (y) for the…

A: We have given that the regression equation relating attitude rating (X) and job performance rating…

Q: Given that the equation of a regression line is y = 4x -8, what is the best predicted value for y…

A: GivenThe equation of Regression line y^=4x-8x=7

Q: A researcher wants to study the factors affecting a person's decision to buy a car. For his study,…

Q: Use the given data to find the best predicted value of the response variable (a) Nine pairs of data…

A: Regression analysis:Regression analysis estimates the relationship among variables. That is, it…

Q: The head of the finance department of Supermarket Company in White Exited, New York City prepared…

Q: Given that the equation of a regression line is y = 2x - 1, what is the best predicted value for y…

Q: group of scientists and engineers aim to create fuel-efficient and fuel-efficient cars. In order to…

A: The given regression line equation is Y = 40.15−0.65X

Q: A linear regression has a =6 and b=5 what is y predicted as when x=9? B) A linear regression has…

Q: A study was done that examined the effectiveness of a 7-Minute Screen test for Alzheimer’s disease.…

Q: In a statistics course, a linear regression equation was computed to predict the final exam score…

Q: Given data below where x=neckline and y=waistline n=15 Answer the following: a. Standard Error of…

A: Given: n = 15 Formula Used:

Q: Suppose Tatiyana is interested in the relationship between language ability and time spent reading.…

A: Hello, Thanks for posting your question here. I believe the given regression equation is , y⏞ =…

Q: The prelim grades (x) and midterm grades (y) of a sample of 10 MMW students is modeled by the…

A: Solution

Q: In a simple linear regression, the following sample regression equation is obtained:…

A: a) For the given equation yˆ=447−29x As x increases by 1 unit, y is predicted to decrease by 29…

Q: In a study, the simple linear regression equation was found as y = - 2.65 + 3.23 * x. Accordingly,…

Q: A county real estate appraiser wants to develop a statistical model to predict the appraised value…

A: y^ = 91.80+19.72x slope = 19.72 x= no. of rooms y = appraise value (in thousands)

Q: In one study, the simple linear regression equation was found to be y = - 2.65 + 3.23 * x.…

Q: In fitting a multiple linear regression model of the form: E(Y)=B0 +B1X1 +B2X2+B3X3, if we use a…

A: Answer: ⊙ b. 16. Explanation: The sample size n=20 and there are 4 parameters. Therefore, the…

Q: If the Linear regression is î = 2x + 2.4, n = 12, r = 0.667, I = 4.6 and y = 5.3, what is the…

A: Hello! As you have posted 2 different questions, we are answering the first question. In case you…

Q: Consider a simple regression equation (y = bo + b,x + e). If the coefficient of determination is…

A: Given,coefficient of determination (R2)=0.64

Q: Q2. Why do we have in general, two lines of regression? Obtain the regression of Y on X and X on Y…

Q: In a statistics course, a linear regression equation was computed to predict the final exam score…

A: The regression equation is given as: y^=10+0.9x y = final exam score x represents the mid term score

Q: In a statistics course, a linear regression equation was computed to predict the final exam score…

A: The linear regression equation to predict the final exam score from the score on the midterm exam is…

Question

100%

A linear regression equation has b = 3 and a = – 6. What is the predicted value of Y for X = 4?

Group of answer choices

Ŷ = 6

Ŷ = –21

Ŷ = –2

Ŷ = 8

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 2 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

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
Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
3.4 SKILL BUILDING EXERCISES Getting Regression Lines Only Find the equation of the regression line for the following data set. x 1 2 3 y 3 0 3
Cellular Phone Subscribers The table shows the numbers of cellular phone subscribers y in millions in the United States from 2008 through 2013. Source: CTIA- The Wireless Association Year200820092010201120122013Number,y270286296316326336 (a) Find the least squares regression line for the data. Let x represent the year, with x=8 corresponding to 2008. (b) Use the linear regression capabilities of a graphing utility to find a linear model for the data. How does this model compare with the model obtained in part a? (c) Use the linear model to create a table of estimated values for y. Compare the estimated values with the actual data.