The scatter plot is a plot of minimum temperature (MMNT) against the maximum temperature (MMXT). In this case, the minimum temperature is the dependent variable while the maximum temperature is the independent variable. The scatter plot indicates that there is a strong linear relationship between the variables and there are no outliers in the selected sample.
The correlation coefficient is which shows that there is a very strong positive linear relationship between the two variables. The coefficient of determination which is the square of the correlation coefficient also emphasizes this strong positive linear relationship between the variables. The coefficient of determination shows of the minimum temperature is determined by the maximum temperature.
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The linear regression equation is in line with the results obtained from the scatter plot as well as in the determination of the correlation coefficient. It indicates that there is a positive slope of which is the increase in minimum temperature with a unit increase of the maximum temperature with a y-intercept at . The validity of the y-intercept is confirmed by the scatter plot as the regression line if extrapolated, will meet the MMNT axis at a negative value.
There are differences in the values obtained from other classmates as they are likely to pick random samples that are likely to vary with my sample. The differences however will not be large as the samples are from the same population that has similar characteristics throughout.
