What was the sample size for this simple regression analysis? Analysis of Variance Sum of Source DF Squares Mean Square F Ratio Model 1 2632.8012 2632.80 23.2115 Error 54 6125.0381 113.43 Prob > F C. Total 55 8757.8393 <.0001* Parameter Estimates Term Estimate Std Error t Ratio Prob>[t| Lower 95% Upper 95 Intercept 31.738559 10.26099 Midterm 3.09 0.0031* 11.166522 52.31059 0.61916 0.128514 4.82 <.0001* 0.3615044 0.876815

Consider the ANOVA table that follows.   Analysis of Variance Source DF SS MS F Regression 6   3,934.82   655.80   12.87   Residual Error 49   2,497.33   50.97       Total 55   6,432.15               a-1. Determine the standard error of estimate. (Round your answer to 2 decimal places.)         a-2. About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.)         b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.)         b-2. Interpret the coefficient of multiple determination. (Round your answer to 1 decimal place.)         Determine the coefficient of multiple determination, adjusted for the degrees of freedom. (Round your answer to 3 decimal places.)

Independent random samples of 45 and 55 observations are drawn from two quantitative populations, 1 and 2, respectively. The sample data summary is shown here in image attached At 5% level of significance do the data present sufficient evidence to indicate that the mean for population 1 is smaller than the mean for population 2? Use the p-value approach and the critical value approach and explain your conclusion.

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For a sample of 306 students in a basic business statistics course, the sample regression liney = 58.813 + 0.2875xwas obtained. Here,y = final student score at the end of the coursex = score on a diagnostic statistics test given at the beginning of the courseThe coefficient of determination was 0.1158, and the estimated standard deviation of the estimator of the slope of the population regression line was 0.04566.a. Interpret the slope of the sample regression line.b. Interpret the coefficient of determination.c. The information given allows the null hypothesis that the slope of the population regression line is 0 to be tested in two different ways against the alternative that it is positive. Carry out these tests and show that they reach the same conclusion.

Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 3388.1 3388.1 18.5 0.000 Residual Error 174 31859.4 183.1     Total 175 35247.5                 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is .The p-value is .     SHOW HINT LINK TO TEXT       Choose the conclusion of this test using a 5% significance level.     Reject H0. The model is not effective.   Do not reject H0. We did not find evidence that the model is effective.   Reject H0. The model is effective.   Do not reject H0. We did not find evidence that the model is not effective

Consider the ANOVA table that follows.  Analysis of Variance Source DF SS MS F Regression 2 3,947.18 1,973.59 42.48 Residual Error 47 2,183.37 46.45   Total 49 6,130.55      a-1. Determine the standard error of estimat   About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.   Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.)    Determine the percentage variation for the independent variables. (Round your answer to 1 decimal place.)   Determine the coefficient of multiple determination, adjusted for the degrees of freedom. (Round your answer to 3 decimal places.)

A car dealership would like to develop a regression model that would predict the number of cars sold per month by a dealership employee based on the​employee's number of years of sales experience. The accompanying regression output was developed based on a random sample of employees.       ANOVA df SS Regression 1 79.909407 Residual 23 261.210593 Total 24 341.12     Coefficients Standard Error Intercept 7.271539 1.229763 Slope 0.539854   1. Predict the sales next month for an employee with 2.5 years of experience.   The predicted sales is 8.6 cars.   2. Compute the coefficient of determination and interpret its meaning.   The coefficient of determination is 0.234.   3. Do the sample data provide evidence that the model is useful for predicting average monthly sales for employees based on their sales experience using α=0.05​?   The test statistic is ​(Type an integer or decimal rounded to two decimal places as​…

Why is finding the z-score called standardizing data? Does the Empirical Rule apply to the standard normal curve?

The Walting ulme (in minutes) was measured for a random sample of patients with non-life threatening injuries in emergency rooms at four local hospitals who arrived between 2:00 and 3:00pm on a particular Saturday. The results of the ANOVA and the plot of the residuals follow: Analysis of Variance Source Adj MS 169.63 35.12 DF Adj ss F-Value 4.83 P-Value Factor 3. 508.9 0.007 Error 31 1088.7 Total 34 1597.6 Means Factor stDev 4.59 3.99 мean 13.11 14.29 6. B 16.00 7.12 D 10 22.60 6.82 Histogram of Residuals 15 20 10 1s Residuals Using the information in the outputs, is there evidence that the distribution of observations is normal in each hospital's population? O No O Yes Percent 790