What is the implication of a data distribution with mean, median and mode being approximately equal?   Group of answer choices 1. The spread in the data are equal 2. The data are unstable 3. The data can not be plotted using a Histogram 4. The data are normally distributed 5. The data can not be plotted using a Box Plot

The following correlation coefficient values come from five different linear regression models. Which model "fits" the data the best? D -8 0.50 00 0.99 O -1

Explain what is meant by standard deviation and how to find it.  Find an example of a situation with a small data set and determine the standard deviation.  Explain what the standard deviation means in context of the situation.

Walmart collects data that depicts the number of customers who return merchandise for a refund. The following data shows the population returns for all 10 Tuesdays. 40 12 17 46 13 22 259 167 Assume that this same exact pattern of data were replicated for the next ten days. How would this affect the standard deviation for the new population with 20 items? (Hint: Find the standard deviation first). The standard deviation would not be changed. There is no way of knowing the exact impact without knowing how the mean is changed. The standard deviation would be doubled. The standard deviation would be cut in half.

4.1 TYPES OF RANDOM VARIABLES. Which of the following describe continuous random variables? Which describe discrete random variables? The number of newspapers sold by the New York Times each month The amount of ink used in printing a Sunday edition of the New York Times The actual number of ounces in a 1-gallon bottle of laundry detergent The number of defective parts in a shipment of nuts and bolts The number of people collecting unemployment insurance each month

I used excel and got a 1.31 on this question, but my friend got another answer.

Which of the following is TRUE regarding the two smoothing constants of the Forecast Including Trend (FIT) model? Select one: a. One constant smoothes the regression intercept, whereas the other smoothes the regression slope. b. One constant is positive, while the other is negative. c. They are called MAD and cumulative error. d. Their values are determined independently. e. Alpha is always smaller than beta.

answer a,b,c

bex Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 3.136512 0.964065 0.985521 0.971252 0971252 Given the above regression statistics, what is the value of the coefficient of determination? 0.964065 3.136512

Which of the following are common metrics for measuring the relative quality of different forecasting methods? OAbsolutely Mean Mean Squared Accuracy O Mean Absolute Percent Error Mean Squared Response OMean Squared Error Mean Absolute Error (a.k.a. Mean Absolute Deviation)