Given the regression output below and a significance level of 99%, can we rejectthe null hypothesis that bl=0?call:Im(formula = Sales - spend, data = dataset)Residuals:Min1Q Median3Q258 1726мах-3385 -20973034coefficients:Estimate std. Error t value Pr(>|t|)(Intercept) 1383.4714 1255. 2404 1.102 0.2960.1625 65. 378 1.71e-14 ***Spend10. 6222signif. codes: 0 ****' 0.001 **' 0.01 **' 0.05 '.' 0.1 ''1Residual standard error: 2313 on 10 degrees of freedomMultiple R-squared: 0.9977, Adjusted R-squared: 0.9974F-statistic: 4274 on 1 and 10 DF, p-value: 1.707e-14YesCannot determine with the available dataNo

Given that p-value =0.000 Level of significance =0.01

Given the regression output below and a significance level of 99%, can we reject the null hypothesis that bl=0? call: Im(formula = Sales - spend, data - dataset) Residuals: Min -3385 -2097 1Q Median 258 30 мах 1726 3034 coefficients: Estimate std. Error t value Pr(>[t|) 0.296 (Intercept) 1383. 4714 1255.2404 1.102 Spend 10. 6222 0.1625 65. 378 1.71e-14 *** signif. codes: 0 ***** 0.001 ***' 0.01 **' 0.05 '.' 0.1 ·'1 Residual standard error: 2313 on 10 degrees of freedom Multiple R-squared: 0.9977, Adjusted R-squared: 0.9974 F-statistic: 4274 on 1 and 10 DF, p-value: 1.707e-14 Yes Cannot determine with the available data No

Given the regression output below and a significance level of 99%, can we reject the null hypothesis that bl=0? call: Im(formula = Sales - spend, data - dataset) Residuals: Min -3385 -2097 1Q Median 258 30 мах 1726 3034 coefficients: Estimate std. Error t value Pr(>[t|) 0.296 (Intercept) 1383. 4714 1255.2404 1.102 Spend 10. 6222 0.1625 65. 378 1.71e-14 * signif. codes: 0 * 0.001 *' 0.01 **' 0.05 '.' 0.1 ·'1 Residual standard error: 2313 on 10 degrees of freedom Multiple R-squared: 0.9977, Adjusted R-squared: 0.9974 F-statistic: 4274 on 1 and 10 DF, p-value: 1.707e-14 Yes Cannot determine with the available data No

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

The adjusted R-squared accounts for the amount of variance explained while also adjusting for the number of independent variables in the linear regression equation. True or False
11. What is the standard error of the slope of the regression line (SEb)? Please put the answer in bold.
A researcher records age in years (x) and systolic blood pressure (y) for volunteers. They perform a regression analysis was performed, and a portion of the computer output is as follows: ŷ = 4.5+ 14.4x Coefficients (Intercept) x Estimate 4.5 Ho: B₁ = 0 H₁: B₁ > 0 Ho: B₁ = 0 Ha: B₁ <0 14.4 Ho: B₁ = 0 Ha: B₁ #0 Std. Error Test statistic 2.9 4.7 1.55 3.06 P-value Specify the null and the alternative hypotheses that you would use in order to test whether a linear relationship exists between x and y. 0.07 0
what is the regression equation for all predictors? I
Define Residuals or errors in Alternative Regression Models?
2
e) Perform the F Test making sure to state the null and alternative hypothesis.
USA Today reported that about 20% of all people In the United States are Illiterate. Suppose you take eleven people at random off a city street. P USE SALT (a) Make a histogram showing the probability distribution of the number of illiterate people out of the eleven people in the sample. 0.30 0.30 0.25 0.25 0.20 0.20 0.15 0.15 0.10 0.10 0.05 0.05 2 3 4 5 7. 8 9 10 11 0 1 2 3 4 5 6 78 9 10 11 0.30 0.30 0.25 0.25 0.20 0.20 0.15 0.15 0.10 0.10 0.05 0.05 0. 0 1 2 3 4 5 6 7 8 9 10 11 0 1 2 3 45 6 7 8 9 10 11 (b) Find the mean and standard deviation of this probability distribution. (Round your standard deviation to two decimal places.) people people Find the expected number of people in this sample who are illiterate. people
A researcher interested in explaining the level of foreign reserves for the country of Barbadosestimated the following multiple regression model using yearly data spanning the period 2001 to 2016: ??=?+????+????+????Where FR = yearly foreign reserves ($000’s), OIL = annual oil prices, EXP = yearly total exports ($000’s) and FDI = annual foreign direct investment ($000’s). The sample of data was processed using MINITAB and the following is an extract of the output obtained:Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491OIL 85.39 18.46 4.626 0.0006EXP -377.08 112.19 * 0.0057FDI -396.99 160.66 -2.471 ** S = 2.45 R-sq = 96.3% R-sq(adj) = 95.3%Analysis of VarianceSource DF SS MS F pRegression 3 1991.31 663.77 ? ??Error 12 77.4 6.45Total 15 Perform the F Test making sure to state the null and alternative hypothesis. f) Given an interpretation of the term “R-sq” and comment on its value.
The individual residual scores from a sample of participants regarding the difference between the predicted Y values from a regression equation and the actual Y from the data are provided here. Y - Ŷ = 3,8,1,2,2. What is the value for the standard error of estimate?
In regression, what do residuals tell us? The amount of error between the predicted y-values and the actual y-values. Residuals tell us how close the predicted values are to the average of the y variable at each value of the x-variable. How much error there was in predicting the x-variable from the actual value for the x-variable. How much the predicted values for the y- variable are different from the pointof-averages.