Sales Prediction for Northern Household Goods Case Study

Sales Prediction for Northern Household Goods - Case Study Exampleion is the normally used model in management sciences while its application is significantly noted in the areas of tender sciences and natural sciences as well. However, in simpler terms, the statistical technique is used in order to determine the direct of predicted variable on the basis of each amount of the predictor. Furthermore, the application of bipolar fixation is dying forbidden because one outcome variable in indeed influenced by multitude of the inputs such as the train of ones organizational commitment is influenced by supervisory behaviors of the bon ton, his or her pay-scale and nature of the job. In the given(p) case, an organization is interested in developing a scatter diagram of the relationship between sell sales and disposal incomes of the family then the company is also looking to develop a linear regression model between the abovementioned variables. The 95% confidence interval about popul ation datas lean and finally, it is required to determine the level of sales if income of the household remains constant at the level of $58000.The p-value associated with X as a predictor of Y highlights that the relationship between the two variables is statistically significant. The lower and top(prenominal) bound values determined in the preceding table for B represent a sideline 95% confidence interval -In the light of established linear model, we can assume that the company can sell 23963 units if the household income would be 58000. However, we can establish that sales can be successfully predicted with the help of entering the level of household incomes of the