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Short themes: simple linear regression - covariance, correlation, finding the line of best fit, prediction, residuals
Questions:
1) Say we want to explore a possible linear relationship between two variables (X and Y). We gather observations, and find that the sample mean of Y is 10, the sample mean of X is 12, the covariance between X and Y is 100, and the variance of X is 10.
Calculate the value of the fitted slope for the associated linear regression equation.
2) Calculate the value of the fitted y-intercept for the associated linear regression equation.
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Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
LINEAR PROGRAMMING MODELS
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