hand written asap A regression analysis with formula y 30 + 2x has a standard error of 1, and a t-statistic of 2.0. The hypothesis being tested is: HO: B1 = 0; Ha: B1 /= 0.What are the p-value and 90% confidence intervals for B12Oap-value: 0.074; 90% CI: (0.19, 3.81)Ob.p-value: 3.81; 90% CI: (0.074,0.19)OCD-value: 0.19, 90% Cl: (0.074, 3.81)Od p-value: 0.15, 90% CI: (0.24, 4.00)

Answered: Image /qna-images/answer/86d71f76-3309-4e97-9cb0-1e492458374d.jpg

Answered: A regression analysis with formula y 30…

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 researcher developed a regression model to predict the cost of a meal based on the summated rating (sum of ratings for food, decor,and service) and the cost per meal for 12 restaurants. The results of the study show that b1=1.4379 and Sb1=0.1397. a. At the 0.05 level of significance, is there evidence of a linear relationship between the summated rating of a restaurant and the cost of a meal? b. Construct a 95% confidence interval estimate of the population slope, β1. a. Determine the hypotheses for the test. Choose the correct answer below. A. H0: β1=0 H1: β1≠0 B. H0: β0≤0 H1: β0>0 C. H0: β1≤0 H1: β1>0 D. H0: β0≥0 H1: β0<0 E. H0: β1≥0 H1: β1<0 F. H0: β0=0 H1: β0≠0 Compute the test statistic. The test statistic is ? (Round to two decimal places as needed.) Determine the critical value(s). The critical value(s) is(are) ? (Use a comma to separate answers as needed.…
Based on a large sample of capacitors of a certain type, a 95% confidence interval for the mean capacitance, in μF, was computed to be (0.213, 0.241). Find a 90% confidence interval for the mean capacitance of this type of capacitor.
A teacher conducted a regression analysis to investigate the relationship between student height and femur length. Computer output from the linear regression analysis is shown in the table. The analysis was performed on a sample of 24 students. Term CoefCoef SE CoefSE Coef Constant 28.34 0.945 Femur length 1.73 0.023 Assume that the conditions for inference for the slope of the regression equation have been met. Which of the following defines the margin of error for a 99.5 percent confidence interval for the slope of the least-squares regression equation? A)3.104 (0.023) B)3.104 (1.73) C)3.119 (0.023) D)3.119(0.945) E)3.119(1.73)
Based on the sample data set: (0,0) ( 2,3) (3,3) (6,4) (9,8) A. Construct the 90% confidence interval for the slope B1 of the population regression line B. find the Coefficient of determination using the formula r2=B1SSxy / SSyy.
The following measurements correspond to air velocity and the evaporation coefficient of burned fuel droplets in a boost engine. Construct a 95% confidence interval for the regression coefficient alpha.
Come up with your own data for a problem that would ask for a 90% confidence interval utilizing Z. Clearly label your variables.
Consider a regression analysis with n = 47 and three potential independent variables. Suppose that one of the independent variables has a correlation of 0.95 with the dependent variable. Does this imply that this independent variable will have a very large Student’s t statistic in the regression analysis with all three predictor variables?
A regression analysis was conducted to investigate the relationship between the total charge and travel time for a certain car service. Computer output from a linear regression analysis is shown below. The analysis was performed on a sample of 24 observations. Term CoefCoef SE CoefSE Coef Constant −1.55−1.55 0.945 Travel time 0.22 0.023 Assume that the conditions for inference for the slope of the regression equation have been met. Which of the following defines the margin of error of a 90 percent confidence interval for the slope of the least-squares regression line? 1.321(0.945)1.321(0.945) A 1.717(0.945)1.717(0.945) B 1.717(0.22)1.717(0.22) C 1.321(0.023)1.321(0.023) D 1.717(0.023) E
Test the strength of linear relationship with H0 : b = 0 and H1 : b ̸= 0 using significance level α = 0.05. Forecast the electric resistence when the carbon content is 50% and calculate a prediction interval for the predicted point with 95% confidence.
Exercise 3.2 85 of an independent random sample of 180 large retailers and 45 of an independent random sample of 175 small retailers used the regression analysis method as the estimation method. Obtain the 95% confidence interval for the difference between the two population ratios. Thank you so much.
Based on data in Figure 1, using Microsoft Excel, at 90% confidence level, can we conclude that on average, the no. of cases reported after 6/6/2021 is significantly lower than before 6/6/2021? Use the p-value approach to make your conclusion. R-naught is a measure used to describe the spreading rate of the COVID-19 disease. Based on the data in Figure 1, run a regression analysis with the aid Microsoft Excel and explain if no. of cases significantly influences the R-naught value.
A researcher is investigating the relationship between the length, in centimeters, and weight, in grams, of pineapples. The researcher will select a random sample of 15 pineapples from grocery stores in a region and construct a 95 percent confidence interval for the slope of the population regression line, where length is the explanatory variable and weight is the response variable. When computing a confidence interval for the slope of the population regression line, which of the following is not a condition that must be checked? The true relationship between length and weight is linear. A The standard deviation for weight does not vary with length. B The values of weight are approximately normally distributed at each value of length. C The sum of the residuals is zero. D The observations are independent. E

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS