A) A moving average for a time period is the simple arithmetic average of the values in that time period and those close to it. B) A value of the smoothing constant w close to 1 results in a very large smoothing,whereas a value of w close to zero results in very little smoothing. C) The accuracy of the forecast with exponential smoothing decreases rapidly for predictions of the time series more than one period into the future. D) A moving average "forgets" most of the previous time-series values and is considered a relatively crude method of removing the random variation.
A random sample of records of electricity usage of homes gives the amount of electricity used in July and size (in square feet) of 135 homes.A regression was done to predict the amount of electricity used (in kilowatt-hours) from size.Suppose the linear model is appropriate.What units does the slope have?
A) Slope is kilowatt-hours per square foot. B) Slope is kilowatt-hours per house. C) Slope is square feet per kilowatt-hour. D) Slope is square feet per house. E) Slope is houses per kilowatt-hour.
Here are some summary statistics for last year's basketball team scoring output: lowest score =19\text { score } = 19 score =19 points, mean =55\text { mean } = 55 mean =55 points, median =49\text { median } = 49 median =49 points, range =96\text { range } = 96 range =96 points, IQR=52\mathrm { IQR } = 52IQR=52Q1=22\mathrm { Q } 1 = 22Q1=22 standard deviation =6\text { deviation } = 6 deviation =6 points.Is the distribution symmetric,skewed to the left,or skewed to the right? Explain.
A) Symmetric; mean higher than median. B) Skewed to the left; mean higher than median. C) Skewed to the right; mean higher than median. D) Skewed to the right; mean lower than median. E) Skewed to the left; mean lower than median.