Millie wants to install a new carpet in the living room of her house. She calculated the square footage of the room and then multiplied it by a set cost factor to estimate the cost. This is an example of_________ Group of answer choices Parametric estimating Three-point estimating Bottom-up estimating Analogous estimating

I need both answers

The manager of Mayo Department Store want to evaluatethe relationship between the sales of air conditioners andthe average weekly temperature. The following weeklysales data along with the average daytime temperaturesfor 10 one-week periods are shown in the following table:Week                        Air-conditioner Sales(in units)                      Average Temperature (in degrees Fahrenheit)1                100           782                  85           703                103           854                110           905                  70           756                115           947                150         1018                120            989                  97            8610                85             80 a Develop a linear regression equation for air conditionersales as a function of the average weekly temperature.b Forecast air conditioner sales if the average weeklytemperature is 88 degrees Fahrenheit.c Evaluate the "goodness of fit" of the regressionequation by…

Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price $2.60 $3.40 $2.00 $4.10 $3.20 $4.00 Number Sold 760 510 990 240 315 480 Using simple linear regression and given that the price per cup is $1.80, the forecasted demand for mocha latte coffees will be cups (enter your response rounded to one decimal place).

The following are sales revenues for a large utility company for years 1 through 11. Forecast revenue for years 12 through 15. Because we are forecasting four years into the future, you will need to use linear regression as your forecasting method. Note: Enter your answers in millions. YEAR 1 2345 5 6 7 8 9 10 11 Period 12 13 14 15 REVENUE (MILLIONS) $4,865.7 5,072.3 5,507.7 5,738.2 5,495.4 5,198.7 5,087.0 5,111.5 5,559.7 5,740.4 5,868.4 Forecast

please answer all parts of the question within 30 minutes with detailed explanation. Make sure calculation form part of the answer and are in details for better understanding. If calculations are not shown or are poorly done i will surely give negative ratings.

Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price $2.70 $3.50 $2.10 $4.10 $3.10 $4.05 Number Sold 765 515 990 245 320 480 Using simple linear regression and given that the price per cup is $1.85, the forecasted demand for mocha latte coffees will be cups (enter your response rounded to one decimal place).

The manager wants to forecast the month 6's sales using the following historical data: Months Month 1 Month 2 Month 3 Month 4 Month 5 Sales 20 25 32 35 38 Please use the weight 0.45 for Month 5, weight 0.25 for Month 4, weight 0.2 for Month 3, and weight 0.1 for Month 2 to use the weighted moving average to forecast the demand of Month 6. Month 5 = 0.1*(25) +0.2*(32) + .25* (35) divided by 0.1 +0.2 +1.25 -17.65/0.55 = 32.09 Month 6= 0.1* (25) +0.2* (32) +0.25 (35) +0.45* (38) divided by 0.1 +0.2+0.45 = 34.75

Descriptive statistics for the closing stock prices of two companies for several trading periods are shown below. Baba, Inc Maman, Inc. Mean 4.00 Mean 15.91 Standard Error 0.11 Standard Error 0.29 Median 3.92 Median 16.59 Mode 4.19 Mode 15.58 Standard Deviation 1.12 Standard Deviation 3.21 Sample Variance 1.25 Sample Variance 10.31 Kurtosis -1.15 Kurtosis 3.52 Skewness 0.08 Skewness -2.09 Range 3.95 Range 13.45 Minimum 2.03 Minimum 5.55 Maximum 5.98 Maximum 18.99 Sum 436.32 Sum 1972.61 Count 109 Count 124 Which company's stock price has a more dispersed distribution? Maman, Inc. Baba, Inc.

Consider the following time series data. Choose the correct time series plot. What type of pattern exists in the data? Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places.  = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Round your answers to two decimal places. Compare the three-week moving average forecast with the exponential smoothing forecast using  Use trial and error to find a value of the exponential smoothing coefficient  that results in a smaller MSE than what you calculated for  = 0.2. Find a value of  for the smallest MSE. Round your answer to three decimal places.