The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Jan Number of Accidents 25 Feb 48 Mar 64 Apr 100 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): y = -1 + 24.10 x Using least-squares regression, the forecast for the number of accidents that will occur in the month of May = response as a whole number). accidents (enter your

A security company had to deploy guards for emergencies multiple times in the last four evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, and Thursday were 7, 4, 8, and 11, respectively. What would be the security company's forecast for the number of emergencies on Friday using an exponential smoothing forecasting approach? (Use \alpha= 0.2 and a forecast for Monday of 10 emergencies)

Mark​ Gershon, owner of a musical instrument​ distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following​ table:                                                                                                            Maroon 5 TV Appearances 3 3 8 5 8 6 Demand for Guitars 2 5 6 4 11 6   This exercise contains only parts​ b, c, and d. ​b) Using the​ least-squares regression​ method, the equation for forecasting is ​(round your responses to four decimal ​places)​:   Y​ =   ​+   ​c) The estimate for guitar sales if Maroon 5 performed on TV 11times​ =   sales ​(round your response to two decimal​ places).   ​d) The correlation coefficient ​(r​)for this model​ =   ​(round your response to four decimal​ places). The coefficient of determination ​(r2​) for this model​ =   ​(round your response to…

Using​ least-squares regression, the forecast for the number of accidents that will occur in the month of May​ = ? accidents​ (enter your response as a whole​ number).

Hi, I need help with solving for the following values (boxed). Thank you.

The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4​ months:      Jan    Feb    Mar    AprMonth    1    2    3    4Number of Accidents    25    40    60    105 Using the least-squares regression method, the trend equation for forecasting is ​(round your responses to two decimal places)​: y = ? + ?x

The accompanying dataset provides data on the monthly usage of natural gas (in millions of cubic feet) for a certain region over two years. Implement the Holt-Winters multiplicative seasonality model with no trend to find the forecast for periods 13-26, where x = 0.5 and y = 0.8. Then find the MAD for periods 13-24. Click the icon to view the monthly use of natural gas data. Use the Holt-Winters multiplicative seasonality model with no trend to find the forecast for periods 13-18, periods 19-24, and then for periods 25 and 26. (Type integers or decimals rounded to two decimal places as needed.) Forecast Period 13 14 15 16 17 18 Natural Gas Usage Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Period Gas Usage 1 2 8699 A WI 3 4 5 7 9 10 11 12 13 14 1516718192021 22 23 24 241 221 155 137 54 34 29 27 30 40 90 201 229 238 242 136 34 34 28 26 27 40 86 187

Amazon finds that sales in July are much greater relative to other months because of the Amazon Prime days in that month. Assuming that an exponential smoothing model is used for forecasting sales, what should the company best do to make the forecast for the next month (Aug) more reflective of reality? Please pick from the provided options.    F t+1 = αDt + (1-α) Ft     increase value of alpha     decrease value of alpha     stay with the same alpha     decrease the expected forecast for the current month (Ft)     On hearing our forecast, our clients probe - how sure are we about the forecast?  Which measure of errror (among those stated below) should we best use to respond?     a. Root MSE (RMSE)     b. Mean absolute percentage error (MAPE)     c. Mean forecast error (Avg. error)     d. Cumulative forecast error (CFE)

Given the following historical data, what is the simple three-period moving average forecast for period 6? Period 1 2 3 4 5 67.67 68.2 67.3 68.4 Value 73 66 64 73 66

A forecasting method has produced the following over the past five months. What is the mean absolute percentage error (MAPE)? Actual 11 OA. 0.00% B. 31.87% 5178 11 13 Forecast 13 10 30668 $7