Given that the equation of a regression line is y = 3.5x-5.4, what is the best predicted value for y given that x = -1.27 Assume that the variables x and y significant correlation. O A -6.9 O B. - 12.3 OC. 12.3 O D. -9.6

Given that the equation of a regression line is y = 3.5x-5.4, what is the best predicted value for y given that x = -1.27 Assume that the variables x and y significant correlation. O A -6.9 O B. - 12.3 OC. 12.3 O D. -9.6

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: If the coefficient of determination is 0.86 with corresponding regression line ˆy=2x+10, what is the…

A: Correlation: Correlation a measure which indicates the “go-togetherness” of two data sets. It can be…

Q: For a certain data set the regression equation is ý-29-5x. The correlation coefficient between y and…

A: Coefficient of correlation

Q: 1. What is the value of the correlation between Academic Performance and Digital Literacy? A.…

A: Given that, A researcher is exploring the relationship of academic performance of students in an…

Q: When the correlation coefficient, r, is close to one: a. There is no relationship between the two…

A: We know that, The linear correlation (r) between X and Y two variables, the correlation values lies…

Q: which of the following regressions represents the strongest negative linear relationship between x…

A: The correlation coefficient r is used to measure the linear relationship between two variables X and…

Q: The heights above sea level and average winter temperatures of cities in a particular country are…

A: Given that Sea level: AVG = 5400 ft, SD = 2100 ftAverage winter temperatures: AVG = 40 degrees F,…

Q: Find Karl Pearson's coefficient of correlation using regression coefficients and mention the correct…

A: From the given information, It has been given that, The Karl Pearson’s coefficient of correlation…

Q: Calculate from the following data : (a) Two Regression Coefficients (b) Two Regression Equations (c)…

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

Q: The average midterm score in a large statistics class was 70 with an SD of 10. The average final…

Q: What type of correlation exists between a person's age and the amount of sleep? O a. high positive O…

A: From the given data Select the correct choice

Q: Which of the following best describes the difference between the interpretation of the correlation…

A: Identify the correct option that interprets the difference between the interpretation of the…

Q: The grades of a class of 9 students on a midterm report (x) and on the final examination (y) are as…

A: Solution-: Given: X: midterm report and Y: final examination grade. X Y 77 82 50 66 71 78…

Q: In a regression context, under what situation is the predicted value for Y equal to the mean of Y?

A: To find: under what situation is the predicted value for Y equal to the mean of Y Let us assume…

Q: with a chest size of 63 inches. Is the result close to the actual weight of 462 pounds? Use a…

A: Solution To find the equation of the regression line we will use Excel

Q: Given that the equation of a regression line is y = -4.5x-1.5, what is the best predicted value for…

A: We have to find predicted value..

Q: Assume we have a population data, and the following values were obtained Mean of X=6, Standard…

Q: Consider the following set of 3 data points. {(-6, -1), (1, 1), (6, 2)} What is the regression…

A: From given data, X Y X*Y X*X -6 -1 6 36 1 1 1 1 6 2 12 36

Q: The coefficient of correlation between calories and fat content in burgers is found to be 0.88.…

A: Solution-: Given: The coefficient of correlation between calories and fat content in burgers is…

Q: Suppose that you run a correlation and find the correlation coefficient is -0.596 and the regi…

A: The p-value for the slope is greater the level of significance of 0.05.

Q: D. What would be the slope and y-intercept for a regression line based on these data? E. What wouıld…

A: D. Regression: The regression analysis is conducted here by using EXCEL. The software procedure is…

Q: If the correlation coefficient is a positive value, then the slope of the regression line... O a.…

A: The correlation coefficient represents the direction and strength of the relationship between x and…

Q: For which of the following sets of data points can you reasonably determine a regression line?…

A: Scatterplot: A scatterplot is a graph of data for two quantitative variables of population. Each…

Q: The following regression equation for predicting exam score (Y) is given: Ý = 40.1 + 2.5 (number of…

Q: b. Using a = 0.10, determine if the slope for the regression equation is statistically significant.…

A: The data shows the amount of time in minutes a purchaser spends on its Web site and the amount of…

Q: Suppose two variables are under study are temperature in degrees Fahrenheit (y) and temperature in…

A: The given regression line is y=95x+32. The correlation coefficient is the ratio of the covariance…

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: Suppose that you run a correlation and find the correlation coefficient is 0.512 and the regression…

Q: Given the equation of a regression line is y = -5.5x - 9.4, what is the best predicted value for y…

A: Given, The equation of a regression line is,

Q: Which of the following statements is NOT true? a.If the correlation coefficent, rr, is negative,…

A: Answer : option d Explanation: Option d is not true as non-zero r doesn't mean a significant…

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

Q: If a correlation is r= 0.00, then SP = 0 and the regression equation is O Ý =X +0 O Ý =X + X O Ý =0…

A: Given: correlation is r = 0.00, then SP = 0

Q: If the correlation between x and y is r=0.58, which one of the following statements is true? O High…

A: A correlation coefficient explains the link between two factors. It does not show a causal…

Q: Many small restaurants in Portland, Oregon, and other cities across the United States do not take…

Q: Sir Francis Galton, in the late 1800 s, was the first to introduce the statistical concepts of…

A: “Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

Q: Suppose that you run a correlation and find the correlation coefficient is 0.421 and the regression…

A: The correlation coefficient is 0.421 and the critical value is 0.396.

Q: 1. Multicollinearity is a situation in which two or more independent variables are highly correlated…

A: Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

Q: Nine pairs of data yield a regression equation of y=0.93x + 19.4, with r= 0.967 and an average y…

Q: You are given the following data : 85 А. Мean Standard Deviat. 11 36 8 Correlation coefficient…

Q: Which of the following would affect the reliability of a forecast made using linear regression? (i)…

A: One of the basic assumptions in linear regression is the assumption of linear relationship between…

Q: Suppose the entering freshmen at a certain college have a mean combined SAT score of 1230, with a…

A: Regression equation is given by, Y= a+bX Where a is intercept and b is slope. Slope b=…

Q: True or false? If the statement is false, use one or two sentences to justify your answer.

A: The provided regression equation indicates that the slope of X1 is -2 which indicates that one unit…

Q: Find the equation of the regression line for the given data. Round values to the nearest thousandth.…

A: The equation of the line is given by,

Q: professor has noticed

A: The regression line is: ŷ = -0.585X + 7.459

Q: Find the equation of the regression line for the following data set. y= 10 - 4 *456 y654

A: Formula: The equation of regression line is given by Y = a + bX, where a = ∑y∑x2-∑x∑xyn∑x2 - ∑x2, b…

Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…

A: From the given information, x y 160 420 180 470 130 340 120 370 90…

Q: Given that the equation of a regression line is y = 3.5x-5.4, what is the best predicted value for y…

A: Given, Y⏞=3.5X-5.4X=-1.2

Q: If the regression equation is ỹ = 1.3+0.20x, and r2 = 0.64 then the correlation is equal to O 0.80 O…

Q: If the regression equation is y =1.3+0.20x, and r =0.81 then the correlation is equal to

Question

Help please

Given that the equation of a regression line is y = 3.5x-5.4, what is the best predicted value for y given that x=-1.27 Assume that the variables x and y have a
significant corelation.
O A. -6.9
O B. - 12.3
OC. 12.3
O D. -9.6

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

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.
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?
Given the equation of a regression line is y= -1.5x-1.8, what is the best predicted value for y given x= -3.0? Assume that the variables x and y have significant correlation.
Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age), the number of years of education received (Edu), the number of years at the previous job (Job Yr), a dummy variable for marital status (Married: 1=married, 0=otherwise), a dummy variable for head of household (Head: 1=yes, 0=no) and a dummy variable for management position (Manager: 1=yes, 0=no). We shall call this Model 1. The coefficient of partial determination (R2Yj.(All variables except j)) of each of the six predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager. The results of the regression analysis are given. Refer to model 1. Which of the following is the correct null hypothesis to test…
A set of n=15 pairs of scores (X and Y) values produces a regression equations of Y=2X+6. Fin the predicted Y value for each of the following X scores: 0, 2, 3, and -4
Given the following data, which is the equation of the regression line? X 0 3 4 5 8 Y 12 6 3 3 1 A. y=4.88+0.525x B. y=10.529+1.382x C. y=−10.529−1.382 D. y=10.529−1.382x
The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 9 10Age 30 50 40 55 30 28 60 25 30 45Sick Days 7 4 3 2 9 10 0 8 5 2 The estimated regression equation and the standard error are given. Sick Days=14.310162−0.236900(Age) Se=1.682207 Find the 95% prediction interval for the average number of sick days an employee will take per year, given the employee is 34 . Round your answer to two decimal places.
Fourteen hikers were surveyed at Algonquin Park, and asked for how many days have you been hikingand far did your travel in that time? The equation for the linear regression line is y+3x + 10.3 where x is the number of days and y is the distance travelled. Does the data include an outlier? and if so which point? Number of days hiked 1 1 2 3 3 5 5 6 7 7 9 10 11 12 Distance Traveled (km) 12 17 18 19 21 23 25 23 30 31 37 39 41 52