Independent variable: Dependent variable: Linear/ Non-linear; Trend: Rate of change: Extrapolation: 5 Number of sales

Does Table 1 represent a linear function? If so, finda linear equation that models the data.

If you graph a revenue and cost function, explain how to determine in what regions there is profit.

When Date Are Unevenly speed. If data are evenly spaced, we need only calculate differences to see whether the data are linear. But if data not evenly spaced, then we must calculate the average rate of change over each interval to see whether the data are linear. If the average rate of changes is constant, it is the slope of the linear function. This fact is used in Exercises 23 and 24. In the following table, show that the average rate of change is the same over each interval. This shows the data are linear, even though the differences in y are not constant. Then find a linear model for the data. x 1 2 5 6 y 7 10 19 22

A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Ý (profit) = bo + b₁XRisk + b₂XR&D + b3Xwc + b4Xec + b5XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR(X) = 2573.72, SSR(X₁) = 2600.7, SSR(X₂|…

A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Y (profit) = bo + b₁XRisk + b₂XR&D +b3Xwc + b₁XEC + b5XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using 5 extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR (X) = 2573.72, SSR(X₁) = 2600.7, SSR(X₂|…

A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Ỹ (profit) = bo + b₁XRisk + b₂X R&D +b3Xwc + b₁XEC + b₂XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using 5 extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR(X) = 2573.72, SSR(X₁) = 2600.7,…

What type of variation illustrate the increase or decrease of both variables together?

A scatter plot would be useful for:     Showing the relationship between the sales of blank CDs and blank DVDs   Showing the trend of sales, over time, of five different brands of blank DVDs   Showing the relative number of sales of four different brands of blank DVDs   Showing the top selling brands of blank DVDs

In regression analysis, the variable that is being predicted is the independent variable control variable dependent variable predictor variable