Chapter 13: Problem 4
Explain the difference between linear and nonlinear relationships between two variables.
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Chapter 13: Problem 4
Explain the difference between linear and nonlinear relationships between two variables.
These are the key concepts you need to understand to accurately answer the question.
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The CTO Corporation has a large number of chain restaurants throughout the United States. The research department at the company wanted to find if the restaurants' sales depend on the mean income of households in the related areas. The company collected information on these two variables for 10 restaurants randomly selected from different areas. The following table gives information on the weekly sales (in thousands of dollars) of these restaurants and the mean annual incomes (in thousands of dollars) of the households for those areas. $$ \begin{array}{l|llllllllll} \hline \text { Sales } & 26 & 38 & 23 & 30 & 22 & 40 & 44 & 32 & 28 & 47 \\ \hline \text { Income } & 46 & 63 & 48 & 52 & 32 & 55 & 58 & 49 & 41 & 72 \\ \hline \end{array} $$ a. Taking income as an independent variable and sales as a dependent variable, compute \(\mathrm{SS}_{x x}, \mathrm{SS}_{y y}\), and \(\mathrm{SS}_{x y}\) b. Find the least squares regression line. c. Briefly explain the meaning of the values of \(a\) and \(b\) calculated in part b. d Calculate \(r\) and \(r^{2}\) and briefly explain what they mean. e. Compute the standard deviation of errors. f. Construct a \(95 \%\) confidence interval for \(B\). g. Test at a \(2.5 \%\) significance level whether \(B\) is positive. h. Using a \(2.5 \%\) significance level, test whether \(\rho\) is positive.
Two variables \(x\) and \(y\) have a positive linear relationship. Explain what happens to the value of \(y\) when \(x\) increases. Give one example of a positive relationship between two variables.
The following table gives information on the amount of sugar (in grams) and the calorie count in one serving of a sample of 13 different varieties of cereal. Here calories is the dependent variable. $$ \begin{array}{l|rrrrrrr} \hline \text { Sugar (grams) } & 4 & 15 & 12 & 11 & 8 & 6 & 7 \\ \hline \text { Calories } & 120 & 200 & 140 & 110 & 120 & 80 & 190 \\ \hline \text { Sugar (grams) } & 2 & 7 & 14 & 20 & 3 & 13 & \\ \hline \text { Calories } & 100 & 120 & 190 & 190 & 110 & 120 & \\ \hline \end{array} $$ a. Determine the standard deviation of errors. b. Find the coefficient of determination and give a brief interpretation of it.
The following information is obtained from a sample data set. $$ \begin{aligned} &n=12, \quad \Sigma x=66, \quad \Sigma y=588, \quad \sum x y=2244, \\ &\sum x^{2}=396, \text { and } \Sigma y^{2}=58,734 \end{aligned} $$ Find the values of \(s_{e}\) and \(r^{2}\).
Briefly explain the difference between a deterministic and a probabilistic regression model.
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