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the slope is -1/4
midpoint (x, y)=(1,3)
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Most Popular Content
2 pages
20210108063029qr 5 1 Tech Template
For each item, record the price in column B record the quantity of the item in column C. You will want to record all of th ...
20210108063029qr 5 1 Tech Template
For each item, record the price in column B record the quantity of the item in column C. You will want to record all of the quantities for e
Analyze a Fictitious Statistical Study
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Analyze a Fictitious Statistical Study
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Introduction :This site provides illustrative experience in the use of Excel for data summary, presentation, and for other ...
statistics : the Analysis ToolPak
Introduction :This site provides illustrative experience in the use of Excel for data summary, presentation, and for other basic statistical analysis. I believe the popular use of Excel is on the areas where Excel really can excel.
1 page
Hypothesis Testing
Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tes ...
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Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tested and what would be your ...
KSU Analyzing Datasets with Categorical Predictors of More than 2 Levels Worksheet
” includes a categorical variable “location” which has 3 categories: intown, inner suburbs and outer suburbs. The go ...
KSU Analyzing Datasets with Categorical Predictors of More than 2 Levels Worksheet
” includes a categorical variable “location” which has 3 categories: intown, inner suburbs and outer suburbs. The goal of this problem is to practice analyzing a dataset with categorical predictors of more than 2 levels. Taking intown as the reference group, use the dataset “ch12q19.character.txt” and use SAS to fit models and answer the following questions. Fit the regression model of Y on X1, location and X1*location. Specify how the dummy variables are defined. Write down the model you’re fitting (model with notations of beta0, beta1, …) and the fitted regression model (plug in fitted values of betas’).Based on the fitted model in (a), write down the fitted regression model of Y on X1 for each location.Test the null hypothesis that the straight lines for the three locations coincide with alpha=0.05. State your null hypothesis in terms of the coefficients. Provide you SAS code and output for conducting the analysis. Figure out your F value and p value based on output, and then draw a conclusion.Test the null hypothesis that the straight lines for the three locations are parallel coincide with alpha=0.05. State your null hypothesis in terms of the coefficients. Provide you SAS code and output for conducting the analysis. Figure out your F value and p value based on output, and then draw a conclusion.
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