27 - It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown. The value of the measured t-test statistic to test whether mean SALARY depends linearly on HOURS is Regression Statistics Multiple R R Square Adjusted R Square 0.8857 0.7845 0.7801 Standard Error 1.3704 Observations 51 ANOVA df SS MS F Significance F Regression Residual 1 335.0472 335.0473 178.3859 1.8782 Total 50 427.0798 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept Hours -1.8940 0.4018 -4.7134 0.0000 -2.7015 -1.0865 0.9795 0.0733 13.3561 0.0000 0.8321 1.1269 Note: 2.051E-05 = 2.051*10 and 5.944E – 18 =5.944*10-18

27 - It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown. The value of the measured t-test statistic to test whether mean SALARY depends linearly on HOURS is Regression Statistics Multiple R R Square Adjusted R Square 0.8857 0.7845 0.7801 Standard Error 1.3704 Observations 51 ANOVA df SS MS F Significance F Regression Residual 1 335.0472 335.0473 178.3859 1.8782 Total 50 427.0798 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept Hours -1.8940 0.4018 -4.7134 0.0000 -2.7015 -1.0865 0.9795 0.0733 13.3561 0.0000 0.8321 1.1269 Note: 2.051E-05 = 2.05110 and 5.944E – 18 =5.94410-18

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

A linear regression model based on a random sample of 36 observations on the response variable and 4 predictors has a multiple coefficient of determination equal to 0.697. What is the value of the adjusted multiple coefficient of determination?
Data can be approximated quite well by a N(3.4, 3.1) model. Economists become alarmed when productivity decreases. According to the normal model what is the probability that the percent change in worker output per hour from the previous quarter is more than 1.6 standard deviations below the mean? What is the probability that the percent change in worker output from the previous quarter is between -1.56 and 4.33?
Explain the concept of Asymptotic Distribution of the OLS Estimatorand t-Statistic in the multi regression model?
Suppose that three drugs used to reduce cholesterol are compared in a randomized experiment in which three people use each drug for a month. The data for the reductions in cholesterol level for the N = 9 participants follow. Drug 1 Drug 2 Drug 3 6 10 4 14 12 2 9 6 Calculate the F-statistic for comparing the mean cholesterol reductions for the three drugs. What is the value of F? (report to 2 decimal places) What are the degrees of freedom for this statistic - Between df? ,Within df?
A method of estimating earth temperature based on local precipitation is to build models based on 100s of years of earth at several different constant green house gas level (So constant global temperature for 100s of years) , and compare the correlation of statistical relationships between predicted precipitation patterns in a region, and observed precipitation patterns for a region in a few year time period.
The residual is the difference between the observed value of the independent variable and the predicted value of the independent variable. TRUE FALSE
Check my An airline's data indicate that this past year, the average time it takes to board their flights is 45 minutes. The airline is considering changing their boarding procedures to reduce the boarding time for travelers. The new procedures were implemented and the boarding times for a random sample of 22 customers was taken to determine if there was a statistically significant decrease at in boarding times a= 0.10 with z = - 0.89 and t = . 1.07. What is the decision?
A linear regression model based on a random sample of 36 observations on the response variable and 4 predictors has a multiple coefficient of determination equal to 0.697. What is the value of the adjusted multiple coefficient of determination?
Calcium is essential to tree growth. In 1990, the concentration of calcium in precipitation in a certain area was 0.11milligrams per liter (mg/L).A random sample of 10 precipitation dates in 2018 results in the following data table. Complete parts (a) through (c) below. (B) With 98% confidence, the mean concentration of calcium in precipitation in this area in 2018 is between
The time spent (in days) waiting for a heart transplant in two states for patients with type A+ blood can be approximated by a normal distribution, as shown in the graph to the right. Complete parts (a) and (b) below. u= 134 0=18.1 What is the shortest time spent waiting for a heart that would still place a patient in the top 30% of waiting times?