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Your final project entails systematic extraction of decision-aiding insights from a dataset (SampleDataSet.xlsx) provided to you in the Doc Sharing area. The goal of this project is to provide you with hands-on experience in conducting and interpreting different types of statistical analysis. The focus of your analysis will be on marketing strategies and analysis-related topics. At times, you will be expected to conduct additional research on topics that are not adequately covered in your text, for example, data due diligence. In this section, you will conduct correlation and regression analyses using the provided SampleDataSet.xlsx.
Correlation: Compute a correlation matrix that includes all continuous variables. Identify all individual correlations that are signifcant att he 95 percent level.
Regression: Build a multiple regression model to explain the variability in the median school year. Describe the goodness of fit of your model and summarize your findings. Select at leastfour to seven similiar independent variables from the remaining forty-ninemeasures and justify your selection.
Dirichlet series
Every convergent sequence contains either an increasing, or a decreasing subsequence.
How many relations on A are both symmetric and antisymmetric?
Daily Airlines fies from Amsterdam to London every day. The price of a ticket for this extremely popular flight route is $75. The aircraft has a passenger capacity of 150.
How much money will Dave and Jane raise for charity
This question is asking you to compare the likelihood of your getting 4 or more subscribers in a sample of 50 when the probability of a subscription has risen from 0.02 to 0.06.] Talk about the comparison of probabilities in your explanation.
Skew-symmetric matrices
Describe the different type of taxes and their rates in Spokane WA.
Suppose that in the four player game, the person who rolls the smallest number pays $5.00 to the person who rolls the largest number. Calculate each player's expected gain after one round.
Find the probability density function.
Linear programming applied to Aggregate Production Planning of Flat Screen Monitor
Discrete-time model for an economy
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