Historical data indicates that 70% of all orders processed b…

Historical data indicates that 70% of all orders processed by a specific distribution center are “Perfect Orders” (delivered on time, in full, damage-free, and with correct documentation). Assume that the status of each order is a binomial random variable. If 20 orders are randomly audited, what is the probability that fewer than 17 but 13 or more are perfect orders? 

Brad executes a command in R to generate correlation matrix …

Brad executes a command in R to generate correlation matrix  R command:   round(cor(df[,c(2:6)]),3)  Based on output of this command and keeping in mind that Wperc is a dependent variable while Age, Wt, ShPerc, SVPerc are independent variables , which statement is correct.  

You are a Fleet Operations Manager analyzing the impact of v…

You are a Fleet Operations Manager analyzing the impact of vehicle load on fuel economy to improve route cost estimation. You decide to use the mtcars dataset  as a sample, treating:  Dependent Variable ($Y$): mpg (Miles per Gallon, representing fuel efficiency). Independent Variable ($X$): wt (Weight in 1,000 lbs, representing cargo load). Run the following SCRIPT in R to generate the regression model: data(mtcars)model

Raising Cane’s estimates the mean amount spent per customer…

Raising Cane’s estimates the mean amount spent per customer during the lunch rush.  A random sample of n = 18 customer orders is taken.  The sample mean was found to be $12.79 with a sample standard deviation of $1.97.  Assume the population of amount spent per customer is normally distributed.  Select the closest values for t-value (t-statistic or t-cals) for a 90% confidence interval as well as 90% confidence interval for the true mean amount spent per customer.