The variables in the survey - Essay Example

Such would be the areas that would need attention in order to beat competition. The column significance F has the associated P-value. If it is > 0.05, then, at significance level 0.05, we do not reject the H0 that in the equation y = β1 + β2 x, β2 = 0 as this would not be the case. In our case we have 9.69379E-08. 2.222498604 represents the Y intercept and 0.27006447 gives us the independent variable. That means that an increase in bargain sales by 1 unit causes attitude towards the mall to change by 0.27006447. The column significance F has the associated P-value.

If it is > 0.05, then, at significance level 0.05, we do not reject the H0 that in the equation y = β1 + β2 x, β2 = 0 as this would not be the case. In our case we have 0.000648 hence we reject the H0 as this is < 0.05. The Normal Distribution plot for both variable 21 and 25 show points that fit in the normal line. That indicates that the data is normally distributed. The residual plots for both variables also show a random pattern of the points which indicates a fit for a linear model.

That shows that there exists a linear relationship between these variables and the attitude formation. On the other hand, the Histograms show a truncated curve, with the peak near the edge. The histograms trail off gently to the left side indicating that part of the distribution has been removed during review. The column significance F has the associated P-value. If it is > 0.05, then, at significance level 0.05, we do not reject the H0 that in the equation y = β1 + β2 x, β2 = 0 as this would not be the case.

In our case we have 0.072269 hence we do not reject the H0 as this is > 0.05. The column significance F has the associated P-value. If it is > 0.05, then, at significance level 0.05, we do not reject the H0 that in the equation y = β1 + β2 x, β2 = 0 as this would not be the case. In our case we have 0.243316