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1. Use the following results obtained from a simple linear regression analysis with 15 observations. Y ^ = 35.5- (1.75)X R2= 0.9345 and sb1 = 0.60 Interpret regression results and the value of the coefficient of Determination. Predict the value of Y when X is equal to 10. Calculated the correlation coefficient between Y and X. Test to determine if there is a significant relationship between the independent and dependent variable at ? = 0.05. Perform a two-tailed test. 2. A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising. He randomly selects past months of data consisting of tire sales (in hundreds of tires) and advertising expenditures (in thousands of dollars). Based on the data set with 20 observations, the simple linear regression model yielded the following results. (X is advertising expenditure in thousand dollars and Y is tires sold in hundreds): ∑X = 50; ∑Y = 100; ∑X2 = 225; ∑Y2 = 720; ∑XY = 390. Find the Intercept and slope and Write the Regression Equation. Also predict the amount of tires sold when money invested in advertising is 5 thousand dollars. Calculate the correlation coefficient and coefficient of determination. Check whether there is a relation between correlation coefficient and coefficient of determination. Calculate SSE and MSE, and standard error and t-score of the slope coefficient.
Calculate the odds ratio of the fish being female in the cold environment compared to the fish in the warm environment. Interpret this ratio in the context of the question.
Prepare a report using the numerical methods of descriptive statistics presented in this module to learn how the variables contribute to the success of a motion picture.
The normal distribution is a type of probability density function. Areas found under this curve are equivalent to probabilities. For example, the probability that z lies between a and b is denoted P(a
Find out about your company's forecasting system
Formulate and solve a linear optimization model using the auxiliary variable cells method and write a short memo to the production manager explaining the sensitivity information.
Somerset Furniture Company's Global Supply Chain
Perform a factor analysis on the three variables shown in question 2 above. What do conclude about the factors? Perform another factor analysis that includes the new variable, change in external events. What do you conclude?
What are other analytics that could be done for this client that would add insight - What was the most important attribute the client should take away from this analysis and why
Use Markov's inequality to get an upper bound
Resource-selection analysis compares the distributions of animals relative to the distribution of habitat. If the two don't agree, there is evidence of selection. A survey of 106 moose found that 24 were located in "In burn - interior," 22 in "..
Identify a business research topic, define the research questions for the identified problem or opportunity and select the appropriate research methodologies and techniques to use for the research project
Correlation and the corresponding p-value - Calculate Spearman's correlation by hand - Give the hazard ratio and corresponding confidence interval for treatment
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