For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83.   a. Compute for a 3 month moving average forecast. b. Compute for the exponential smoothing forecast for a=0.2. c. Which provides the better forecast using MSE as the measure of model accuracy? d. What is the forecast for next month?

Suppose an oceanographer monitors the daily salinity of a particular ocean in relation to the temperature of the water. The oceanographer plots the data with temperature, in degrees Celsius (°C), along the horizontal axis and salinity, in parts per thousand (ppt), along the vertical axis.   Select the true statement about the data point identified by the arrow. An ocean temperature of 21 °C causes the salinity to be 29 ppt. The predicted salinity is 29 ppt when the ocean temperature for the day is 21 °C. An ocean temperature of 29 °C corresponds to a salinity level of 21 ppt. The observed salinity is 29 ppt when the ocean temperature for the day is 21 °C. There is no relationship between the temperature of the ocean on a given day and salinity.

I need help please soon as possible

For the data set, perform exponential smoothing with alpha = 0.1 to determine the forecast for week 20.   week Sales (1000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 13 31 14 34 15 31 16 33 17 28 18 32 19 30

QQQ3. Diamond PricesWeight 0.3 0.4 0.5 0.5 1.0 0.7Price 510 1151 1343 1410 5669 2277Find the best predicted price for this diamond with a weight of 1.50 carats. Is the result close tothe actual price of $16,097? What is wrong with predicting the price of a 1.50-carat diamond? Between the two variables.d) Find the regression equation,e) Letting the first variable be the predictor (x) variable, find the indicated predicted value.

Researchers often rely on surveys to capture a subjective assessment of well-being. One study finds that holding everything else constant, people seem to be least happy when they are in their 40's. Another study suggests that money does buy happiness, but its effects diminishes as income rises above $75000 a year. The accompanying data file includes survey daa of 100 working adults' self-assessed happiness on a scale of ) to 100, along with their age and annual income. Estimate and interpret a regression model based on Age, Age 2 and income. Predict happiness with income equal = to $80000 and age equal to 30, 45, and 60 Years Predict happiness with Age equal = to 60  and income equal to 25,000, 75000, and 125000   Happiness Age Income 69 49 52000 83 47 123000 86 72 112000 73 52 166000 89 68 90000 81 37 152000 75 48 58000 56 48 50000 75 56 93000 57 51 27000 77 60 173000 83 55 173000 85 75 68000 82 69 157000 63 39 40000 70 66 107000 78 34 109000 53…

Anita Limited has shared their annual sales revenue over the last 6 financial years from 2015 to 2020.  Year Sales ($ 000) 2015 4500 2016 5100 2017 4900 2018 5400 2019 5670 2020 6000  You are required to; a) Using linear trend equation forecast the sales revenue of Anita Limited for 2021.   Note: See the formula sheet on the next page. P.S.: I can't attach the formula sheet in this because it has variuos symbols, such as Sigma, log, x value etc. I uploaded the formula sheet and the question as well in the chat box. Please let me know if you need any more information.

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.5 8.2 6.9 3.3 2.8 2.2 2.6 0.6 yy 13.7 10.9 10.2 7 6.1 5.8 6.3 4.2 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.87x+3.9.y=0.87x+3.9. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 2.5 thousand automatic weapons?Answer =  Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 5.2 thousand automatic weapons?Answer =  Round to 3 decimal places. Submit QuestionQuestion 17

If a forecaster wanted to choose a forecasting model that avoided having a large forecasting error in any given period, which error metric should they use when evaluating their forecasting options? CFE O AFE MAD MAPE O MSE

Data was collected about the number of text messages a sample of college students received in the last day.  In this particular sample, most students received few text messages, but a small number of students received a very large number of text messages.   Two measures of center were computed for this sample:  15.6 and 20.2.   One of these measures is the mean and one is the median.  Which measure must be the median?    1 The median is 20.2 because the distribution of number of text messages would be skewed to the left. 2 The median is 20.2 because the distribution of number of text messages would be skewed to the right. 3 The median is 15.6 because the distribution of number of text messages would be skewed to the left. 4 The median is 15.6 because the distribution of number of text messages would be skewed to the right.