ANOVA Regression Residual Total tercept mber of lespersons df Coefficients 77.0 43.0 SS 6,847.3 8,943.3 MS F Significance F Standard Error t Stat 12.613 5.185 P-value
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- The following data table shows the historical data for the first semester 2020, of the amount of sales of the company "IRC", which sells sneakers. Utilizing multiple lineal regression (as shown on the image), find an equation that estimates the number of sneakers sold by the company, based on advertising and revenue. Also, determine the standard error of estimation, the coefficient of determination, and the correlation coefficient. Write down what was the quantity in thousands sold in July if the amount of ads was 8 and the income for each unit was $135create graph of the two-variable data with a regression line, r, r2, and separate residual plotWhat percentage of the variability in the amout of fuel used can be explained by the variability in the distance? Determine the regression line for distance and amount of fuel used?
- Plot the relationship between overhead costs and labor-hours. Draw the regression line and evaluate it using the criteria of economic plausibility, goodness of fit, and slope of the regression line.Use the estimate yest=3.3x2 - 9.4x - 0.1 to calculate a set of residuals, using a formula or a calculator. Explain your steps, then create a residual plot using this new model and assess its validity2. Below is a regression of school level test scores (tscores) on the percent of students in the school that are eligible for free meals (pfmeals) d.) Calculate and interpret the R-squared. e). Next you run a new regression: test scores (tscores) on the percent of students in the school that are eligible for free meals (pfmeals) AND the class_size (average number of students in a classroom in the school). What would you expect to happen to the R-squared relative to the own shown above in problem 2? Explain your response.
- Find correlation coefficient between the exchange and expenditure from the datagiven below: Obtain the regression equation of exchange on expenditure expenses and find out theexpected exchange of a firm when expenditure is Rs. 25 lakhs. Also find coefficientof determination and interpret your result.Write short note on regression line?Does the Regression line give information about all the data points in the data set? Does the Regression line usually have all the points in the data set on it?