Refer to the following null hypothesis formulated by a restaurant manager who wanted to investigate the factors that encourage the customers to return to their restaurant in future. Identify which data analysis method is the most appropriate for the null hypothesis below. * "There is no relationship between Return in Future and Service Quality, Food Quality and Food Presentation". O ttest one-way ANOVA O correlation O multiple regression

The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females. Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef Constant 55.28 SE Coef 1.04 T-Value P-Value Shoe Size 0.105 Gender 0.268 0.12 0.489 53.1 0.875 0.000 0.000 0.548 0.000 (a) The dependent variable in this regression is which of the following? height gender shoe size constant (b) What is the regression coefficient of shoe size? (c) What is the regression coefficient of gender?

Exercise SA-5 (Algo) Least-Squares Regression (LO5-11 George Caloz & Frères, located in Grenchen, Switzerland, makes luxury custom watches in small lots. One of the company's products, a platinum diving watch, goes through an etching process. The company has recorded etching costs as follows over the last six weeks: Week 1 2 3 4 Units 14 11 16 10 12 15 78 Total Etching Cost $ 27 20 30 20 25 28 $150 For planning purposes, management would like to know the variable etching cost per unit and the total fixed etching cost per week. Exercise 5A-5 Part 2 (Algo) 2-a. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching cost per week. 2-b. Express these estimates in the form Y = a + bx.

what are the differences between the following models? 1) Moving average models 2) Simple exponential smoothing 3) Holt's exponential smoothing 4) Winter's exponential smoothing 5) The Bass model In your answer, write down the equation for each model.  What does each variable mean?  Finally, why would I use one model as opposed to the others?  For example, the Bass Model is used to forecast the adoption rate for new innovations, or sigmoid shaped growth.

what is the stregth of analyst forecast information for business decision making?

How does a food company forecast demand for its meat snack and sausage products? Oberto Sausage, an 85-year-old family business in Washington State, sells beef jerky and other packaged meat products, such as pork rinds and smoked sausage sticks, directly  to  mass merchandisers and supermarket chains. Oberto has been enjoying double-digit growth. The company has also been expanding its consumer marketing efforts into the digital realm; it recently concluded a successful sweepstakes promotion that invited participants to text in their entries from their cell phones. Growing demand means accurate forecasting is critical to Oberto’s ability to provide a steady supply of fresh products to the right places at the right time. Forecasting also ensures Oberto has the necessary ingredients and packaging available to fill orders on time. In its recent search for a new computer-based forecasting system, the company looked for a way to create a model of routine and ongoing…

List and describe the differences between forecasts and predictions?

An example of the Quantitative Method of forecasting is O Multiple Regression Market Research O the Delphi Methode O Jury of Executive Opinion

How would you choose the appropriate number of factors to use in a forecasting model and how would you build a factor augmented VAR.

Describe the word least-square forecasting?