Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation x y Observation 1 15 70 2 3 28 79 38 35 49 42 30 89 86 97 97 82 9 10 11 0.721 12 13 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) x y 14 82 16 70 14 68 24 84 21 83 29 91 63.229 X b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)

Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV QUANTITY (UNITS) Y = 14 20 28 18 QUARTER THIS YEAR I II III IV QUANTITY (UNITS) 20 26 30 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) > Answer is complete but not entirely correct. 18.535 X + 0.630 t

Please help with correct answers: step by step: last time submitted- answers were incorrect A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615 a) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.) Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise t =    b) Using the equation developed in part (b), compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.) quarter 1 forecast____? quarter 2 forecast____? quarter 3 forecast ____? quarter 4 forecast ____?   c) Let t = 1 refer to the observation in Quarter 1 of Year 1; let  t = 2 refer to the observation in Quarter 2 of Year…

Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 a. Construct a time series plot. What type of pattern exists in the data? Trend Pattern Seasonal Pattern Horizontal Pattern O Trend and Seasonal Pattern Question 11 5 pts b. Create the following dummy variables: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. Create a variable t such that t = 1 for quarter 1 of year 1, t = 2 for quarter 2 of year 1, ..., t = 12 for quarter 4 of year 3. Use these dummy variables and t to develop an estimated regression equation to account for seasonal effects and any linear trend in the data. What is the forecast for quarter 1 of next year?

data table below shows the number of computers sold at the Best Buy Store in a week, based on online ads.   Online Ad               Computers Sold   2                               25        1                               10 4                               30 1                               10 2                              25 sigma)x=10                        sigma)y=100 draw the graph of the regression equation, showing the slope and y intercepts?

What is 'forecasting error'? What are the metrics used in measuring forecasting errors?

Please answer this simple question

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

Use a graphing calculator to create a scatter plot and find the line of best fit and the correlation coefficient for the following data. Round to the nearest hundredth. X 5 10 15 20 25 30 35 y 1,800 1,750 1,590 1,490 1,400 1,275 1,010