The equation of the regression line is Y^=50000+(−500)X. A financial education time of 31 hours is found to result in an amount of debt of 34500 dollars. What is the predicted amount of debt? dollars? Where is the observed value in relation to the regression line? A financial education time of 40 hours is found to result in a amount of debt of 32966 dollars. What is the predicted amount of debt? dollars? Where is the observed value in relation to the regression line? A financial education time of 15 hours is found to result in a amount of debt of 39955 dollars. What is the predicted amount of debt? dollars? Where is the observed value in relation to the regression line?

The equation of the regression line is Y^=50000+(−500)X. A financial education time of 31 hours is found to result in an amount of debt of 34500 dollars. What is the predicted amount of debt? dollars? Where is the observed value in relation to the regression line? A financial education time of 40 hours is found to result in a amount of debt of 32966 dollars. What is the predicted amount of debt? dollars? Where is the observed value in relation to the regression line? A financial education time of 15 hours is found to result in a amount of debt of 39955 dollars. What is the predicted amount of debt? dollars? Where is the observed value in relation to the regression line?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 4SGR

See similar textbooks

Similar questions

What is regression analysis? Describe the process of performing regression analysis on a graphing utility.
Can the average rate of change of a function be constant?
You are attempting to predict grade point average based on the amount a student drinks. You calculate a simple regression and get a slope coefficient (b) of -.15. What does this slope coefficient mean?
In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation was y^ =10+0.9x where y is the final-exam score and x is the score on the first test. Carla scored 95 on the first test. What is the predicted value of her score on the final exam? 90 6. 85.5 none of these 95.5
The following table gives the data for the average temperature and the snow accumulation in several small towns for a single month. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Then determine if the regression equation is appropriate for making predictions at the 0.010.01 level of significance. Average Temperatures and Snow Accumulations Average Temperature (℉℉) 38 30 17 39 45 22 34 24 29 38 Snow Accumulation (in.in.) 6 19 27 5 13 26 26 14 13 5 Copy Data
Suppose Ms. Carr is interested in the relationship between her students' 9th grade math final exam scores and the number of hours they spent studying during the year. She collects information for 15 ninth grade students and uses it to obtain the regression equation, where ?x is the number of hours spent studying during the year and ?̂ y^ is the predicted final exam score. ?̂= 1.48+75.64 The scatter plot displays her results. What is the predicted ?̂ y^‑value when a student spends 13 hours studying? Round your answer to one decimal place. y^= ? Select the correct interpretation. The above predicted value of ?̂ y^ is _____ a. the predicted score of 13 out of 15 students. b. the predicted final math test score if a student studies 13 hours during the year. c. the math final test score that 13 students beat. d. what any student will score on the final exam if they study at least 13 hours.
The average August temperatures (y) and geographic latitudes (x) of 13 cities in the United States were studied. The regression equation for these data isTemperature = 127 -1.68*(latitude)What is the slope of the line? Estimate the mean August temperature for a city with latitude of 11.Use 2 decimal placesSan Francisco has a latitude of 40. What would you predict for the mean August temperature of San Francisco?Use 2 decimal placesGiven that the mean August temperature in San Francisco is actually 70 calculate the residual (prediction error) for San Francisco.It should be observed minus predicted. If you do it wrong your answer have the positive and negative switchedUse 2 decimal placesThe latitude at the equator is 0. Estimate the average August temperature at the equator.Use 1 decimal place
Develop a simple linear regression equation for starting salaries using an independent variable that has the closest relationship with the salaries. Explain how you chose this variable.
Suppose Ms. Carr is interested in the relationship between her students' 9th grade math final exam scores and the number of hours they spent studying during the year. She collects information for 15 ninth grade students and uses it to obtain the regression equation, where ?x is the number of hours spent studying during the year and ?̂ y^ is the predicted final exam score. ?̂ =1.48?+75.64y^=1.48x+75.64 The scatter plot displays her results.
The following linear regression model predicts a person's height (cm) from the length of their shoe print (cm) Height^=3.5×Shoe Print+80 What is the predicted height of a person with a 30 cm shoe print? Assume extrapolation is not an issue. 185 cm 80 cm 202.5 cm 167.5 cm
What is the equation of the regression line
Develop a multiple regression equation for starting salaries using School Ranking, GPA, and Experience as independent variables. Is this regression equation "good for use'"? Explain.