Solve a regression problem using SPSS Coursework

Solve a regression problem using SPSS - Coursework ExampleThe Equation of Best fail is a calculation or equation that attempts to minimize distance between all the data points and a fitted line. The general idea is that small and unbiased exit between a models predicted values and the observed values indicates the model of best fit. However, it is advisable to look at the residual plots before conclude about goodness-of-fit as a statistical measure.We interpret the slope b or regression coefficient as the amount of change in Y for to each one unit increase in X. that is b represents the effect of X on Y while the intercept a, is the predicted value of Y associated with X = 0. From our analysis, the slope (a = 0.124) and Y-intercept (-1.031), X-temperature, and Y ice cream sales. Figure 2 below shows the strong positive correlation between temperature and Ice Cream Sales (slope).The main idea for this projection is to find out whether the number of ice cream sold varies with temp erature. Based on existing literature, we would expect ice-cream sales to increase with temperature. In order to termination the questions for the exercise, the Number of Ice Cream Sales is the dependent variable (criterion variable), and Temperature is the independent variable. Overall, the task is a simple linier regression because there are only ii variables.Figure 4 above shows the correlation coefficient (r) is +0.98, which tells us a strong positive correlation between sales of ice cream and temperature, at 0.001 importation level. Therefore, we establish that the relationship between sales of ice cream and temperature was positively and strongly related (r = +0.98), p