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Look at the data and answer the questions. · Provide descriptive statistics for the data · How does change in price affect propensity to renew? · What is the average price elasticity of demand and how does this vary? · How does driver age affect propensity to renew? · Of the four main factors, which best predicts renewal rate? · Who are the most profitable customers? · How well optimized are the Renewal prices? · What would you do to improve profitability both short and long term? Additional InformationThe question based on Statistics and the question is about data interpretation from the above given data. It is about correlation between car value, year of manufacture, tenure, renewal, age and price change. The solution gives calculations to the above questions in detail.Word limit 600
The Federal Government is stepping up efforts to reduce average response times of fire departments to fire calls. The distribution of mean response times to fire calls follows a normal distribution with a mean of 12.8 minutes and a standard deviat..
Mary claims that the range, standard deviation and variance are all measures of dispersion. John adds to Mary's claim by stating that the coefficient of variation is a measure of relative dispersion.
Bill calculates a linear correlation coefficient between two variable as 1.20. How would you interpret this?
the percentage of values in some commonly used intervals area 68.3 of the values of a normal random variable are within
What is the probability that you get a seat that would fail the stress test if failing is a score of 6.2 or less and estimate of those population parameters
What is the predictive value of a negative test result? In other words, what is the probability that an individual who returns a negative tests for hypertension is not hypertensive? Please give your answer to 3 decimal places.
If we repeated this procedure many, many times, only 5 percent of the 95 percent confidence intervals would fail to include the mean Math SAT score of the population of all students at this college.
a distribution with m35 and a standard deviation 8 is being standardized so that the new mean and standard deviation
For each of the given population would the score of X=50 be considered central score (near middle of distribution) or extreme score (far out in the tail of the distribution )?
A sample of 50 provided a sample mean of 14.15. The population standard deviation is 3.
suppose the union station in chicago a large train station contains on average 20000 people. assume trains and people
Identify the null hypothesis, alternative hypothesis, test statistic, p-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.
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