Coefficients tandard Erro t StatInterceptP-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%0.20857143 0.29188503 0.71456706 0.51436267 -0.6018313 1.01897419 -0.6018313 1.01897419Molarity (slope) 120.705714 0.96406452 125.205016 2.4405E-08 118.029042 123.382387 118.029042 123.382387Equation of line: y=120.71x+0.2086Based on t and p values, which of the following is TRUE?A. The slope and the y-intercept are significantly different from zero.B. The slope and the y-intercept are not significantly different from zero.C. The y-intercept is significantly different from zero while the slope is not.D. The slope is significantly different from zero while the y-intercept is not.

Regression equation has two regression coefficients. They are slope and y intercept value. Slope is…

Answered: Coefficients tandard Erro t Stat…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Pls help with below homework
Required: solve for coefficient of variation (CV) briefly discuss your assessment show your complete solutions (do not use excel cell for the solution)
10. Complete parts (a) through (c) below. (a) Determine the critical value(s) for a right-tailed test of a population mean at the a = 0.05 level of significance with 15 degrees of freedom. (b) Determine the critical value(s) for a left-tailed test of a population mean at the a = 0.05 level of significance based on a sample size of n = 10. (c) Determine the critical value(s) for a two-tailed test of a population mean at the a = 0.10 level of significance based on a sample size of n = 13. 4 Click here to view the t-Distribution Area in Right Tail. (a) terit = (1) (Round to three decimal places as needed.) (b) tcrit = (2) (Round to three decimal places as needed.) (c) tcrit = (3). (Round to three decimal places as needed.)
te Partial Critical Value Table ects Level of Confidence, Critical Value, Za/2 (1-a) • 100% Area in Each Tail, 2 90% 0.05 1.645 95% 0.025 1.96 99% 0.005 2.575 Print Done
Referring to the above results, choose the correct answer with regards to the 95% confidence interval of the slope of ln(orders): Choose one: a. It is estimated that a 1% increase in orders is expected to increase mean costs by approximately 0.4% up to 1% with 95% confidence b. A 10% increase in orders is estimated to increase mean costs by approximately 4% to 10% taking into account the sales effect with 95% confidence c. The estimated effect of orders on costs varies between 0,4 and 1,0 with 95% confidence d. The 95% confidence interval of the variable ln(orders) is between 0,4 and 1,0.
You would like to estimate the variance of sick days at a Fortune 500 company. You randomly select 15 employees and record how many sick days they have used in the past year and you get a sample standard deviation of 1.2. Provide a 95% confidence interval estimate of the population variance.
Testing:H0:μ=4.98H1:μ>4.98Your sample consists of 35 subjects, with a mean of 7 and standard deviation of 4.44.Calculate the test statistic, rounded to 2 decimal places. t=
A simple random sample of size n is drawn. The sample mean, x, is found to be 19.1, and the sample standard deviation, s, is found to be 4.8. Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about µ if the sample size, n, is 35 Lower bound: Upper bound: (Use ascending order. Round to two decimal places as needed.) 4 4
Dependent Variable: MU Sample: 134 Variable b BETA t-Statistic P-value Constant 7.292206 6.666348 0.0000 COLLEGE -0.115133 -0.23 -4.437697 0.0000 GROWTH 0.018898 0.01 1.718810 0.0880 SENIORS -0.022380 -0.24 -0.731017 0.4661 WAGE -0.0000294 -0.001 -0.874836 0.3833 R-squared 0.192456 Mean dependent var 3.852239 Adjusted R-squared 0.167416 S.D. dependent var 1.928368 Where MU = metropolitan area unemployment rate, COLLEGE = percentage of the metropolitan area population with a college degree, GROWTH = growth rate of the metropolitan area population, SENIORS = percentage of the metropolitan area population that is elderly, and WAGE = average metropolitan area wage How much variation in MU is explained by the independent variables? Which IVs are statistically significant predictors of MU at the 95% C.L.? Tell me which direction you expect the sign of…
Solve for C
Need only a handwritten solution only (not a typed one).
3

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