please answer the question in the attached picture with work shown, thanks!#4 D,E,F 国14. Suppose we have 51 observations on income per capita (y) and the percentage of population with abachelor's or higher degree (x). Using this data, the following regression model has been estimated:y =(a) + 1.029xse (2.672)(c)t (4.31) (10.75),where se stands for the standard errors of the estimated coefficients b, and b2; t stands for the t-ratiosof the two estimated regression coefficients (b, and b2) when testing the hypothesis Ho:b120, Ha: b1,2 + 0. (H5:3.7)a. Calculate the estimated intercept, b1. Interpret (explain the meaning) of the two regressioncoefficients, b, and b2. (Please remember that the t-ratio is equal to the estimated value of aparameter over its standard error when testing the null hypothesis that the parameter is equalto zero.)b. Sketch the estimated relationship.it increasing, or decreasing? Is it a positive, or negativerelationship? Is it increasing or decreasing at a constant rate, or is it increasing or decreasing atan increasing or decreasing rate?С.Calculate the standard error of the slope coefficient b2 of the regression model. Show yourwork.d. What is the value of the t-statistic for the null hypothesis that the intercept is equal to 10?The p-value of the two-tail test that the intercept parameter equals 10 from part (d) is 0.572.Show the p-value in a sketch. On the sketch, show the rejection region if a = 0.05.Construct a 99% interval estimate of the slope coefficient, b2. Interpret the interval estimate.g. Test the null hypothesis that the slope coefficient is equal to 1 against the alternative that it isе.f.not 1 at the 5% level of significance. State the economic result of the test in the context of thisproblem.

Given y=a+1.029x obsevation 51 Find a,b,c,d parts of question

Suppose we have 51 observations on income per capita (y) and the percentage of population with a bachelor's or higher degree (x). Using this data, the following regression model has been estimated: y = (a) + 1.029x se (2.672) (c) t (4.31) (10.75), where se stands for the standard errors of the estimated coefficients b1 and b2; t stands for the t-ratios of the two estimated regression coefficients (b, and b2) when testing the hypothesis H,:b1,2 = 0, Ha: b12 + 0. (H5:3.7) a. Calculate the estimated intercept, b1. Interpret (explain the meaning) of the two regression coefficients, bị and b2. (Please remember that the t-ratio is equal to the estimated value of a parameter over its standard error when testing the null hypothesis that the parameter is equal to zero.)

Suppose we have 51 observations on income per capita (y) and the percentage of population with a bachelor's or higher degree (x). Using this data, the following regression model has been estimated: y = (a) + 1.029x se (2.672) (c) t (4.31) (10.75), where se stands for the standard errors of the estimated coefficients b1 and b2; t stands for the t-ratios of the two estimated regression coefficients (b, and b2) when testing the hypothesis H,:b1,2 = 0, Ha: b12 + 0. (H5:3.7) a. Calculate the estimated intercept, b1. Interpret (explain the meaning) of the two regression coefficients, bị and b2. (Please remember that the t-ratio is equal to the estimated value of a parameter over its standard error when testing the null hypothesis that the parameter is equal to zero.)

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter2: Exponential, Logarithmic, And Trigonometric Functions

Section2.CR: Chapter 2 Review

Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...

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