The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e below 2 3 4 6. 7. 8. No. of absences, x Final grade, y 89.0 86.2 833 80.9 78.0 73.7 64.5 68.8 65 9 63.1 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable. y x+ O (Round to three decimal places as needed)

The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e below 2 3 4 6. 7. 8. No. of absences, x Final grade, y 89.0 86.2 833 80.9 78.0 73.7 64.5 68.8 65 9 63.1 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable. y x+ O (Round to three decimal places as needed)

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

Similar questions

Perform a regression on two different variables within the attached data, and exaplin what the findings determine. What decision can be made?
Data on 12 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables were measured in minutes and a regression analysis was performed. ski 85 2.5. treadmill = Coefficients Estimate (Intercept) Treadmill 85 - 2.5 Std. Error What is the test statistic? -2.5 0.45 1 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? Round your answers to three decimal places. Using your answer from the previous question, find the p-value. Part 2 o
Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 420 64.8 291 49.19 970 114.3 280 43.2 583 66.47 700 74 397 44.73 254 36.86 702 81.18 912 93.08 A student calculates a linear modelyy = xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 285.Cost = $ (Please show your answer to 2 decimal places.)
Using data from 50 workers, a researcher estimates Wage = β0 + β1Education + β2Experience + β3Age + ε, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. The regression results are shown in the following table. Coefficients Standard Error t Stat p-Value Intercept 8.93 3.96 2.26 0.0289 Education 1.34 0.38 3.53 0.0010 Experience 0.48 0.20 2.40 0.0205 Age −0.04 0.05 −0.80 0.4278 a-1. Interpret the point estimate for β1. multiple choice 1 As Education increases by 1 year, Wage is predicted to increase by 1.34/hour. As Education increases by 1 year, Wage is predicted to increase by 0.48/hour. As Education increases by 1 year, Wage is predicted to increase by 1.34/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.48/hour, holding Age and Experience constant. a-2. Interpret the point estimate for β2. multiple…
x 5.7 4.1 6.2 4.4 6.5 5.8 4.9 y 1.9 4.8 0.8 3.9 1.2 1.7 3.0 (a) Computethecoefficientofdetermination. (b) Howmuchofthevariationintheoutcomevariableisexplainedbytheleast-squares regression line?
Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 726 35.3 737 45.85 355 24.75 255 14.75 754 34.7 797 49.85 898 59.9 424 18.2 391 31.55 A student calculates a linear modelyy = Incorrect xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 777.Cost = $ (Please show your answer to 2 decimal places.)
The fish in my pond have mean length 10 inches and mean weight 4 pounds. The correlation coefficient of length and weight is .9. If the length of a particular randomly selected fish is reported to be 10 inches, then what should we predict for the weight of that fish using simple linear regression? 4 10 2.5 NOT ENOUGH INFORMATION GIVEN NONE OF THE OTHERS
The age (in weeks) and the number of hours slept in a day were recorded for arandom sample of 8 infants.Age (in weeks) 5 10 15 22 26 36 42 47Hours slept ina day14.9 14.5 14.7 14.2 13.4 14.1 13.4 13.7(a) Find the regression line that predicts the number of hours an infant sleeps ina day based on its age (in weeks).(b) How well does the regression line fit the data? Use words and statistics tosupport your answer.(c) Predict the number of hours that a 30-week-old infant would sleep in a day.Use words to state your answer.
Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 850 55.5 879 47.95 996 48.8 700 41 850 43.5 623 37.15 533 26.65 935 51.75 563 21.15 A student calculates a linear modelyy = xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 460. Cost = $ (Please show your answer to 2 decimal places.)
The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. 20 30 35 60 84 105 O Commute Time (minutes), x Well-Being Index Score, y 69.1 67.8 66.8 66.6 65.1 64.4 62.5 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the respont (Round to three decimal places as needed.)
Using the sample data from the accompanying table, complete parts (a) and (b). E Click the icon to view the data table (a) Explain why it does not make sense to construct confidence or prediction intervals based on the least-squares regression equation. Choose the correct answer below. O A. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because there is a linear relationship between sugar content and calories in high-protein and moderate protein energy bars. O B. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because there is no linear relationship between sugar content and calories in high-protein and moderate protein energy bars. O C. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because the residuals are not normally distributed. (b) Construct a 95% confidence interval for…