? The study found that seasonal changes (sampling code) could predict the changes water parameters (pH and alkalinity). This is a moderately weak relationship although not negative.

Question: A bivariate linear regression was conducted to examine if the parameters were affected by seasonal changes and if so how well seasonal changes (sampling code) could predict the changes water parameters (pH and alkalinity). For test conducted between pH and sampling codes: The scatter plot showed the relationship is positive and hence directly proportional (both values increase correspondingly) and there were no bivariate outliers. The correlation between sampling code and ph was statistically significant (0.75). The regression equation = 8.051 - 0.050. R square for equation is 0.006 which 0.6% of the variance in water parameters were predictable from seasonal changes (sampling code). This is a moderately weak relationship although not negative.For test conducted between alkalinity and sampling codes: The scatter plot also showed the relationship is positive and hence directly proportional (both values increase correspondingly) and there were no bivariate outliers.What is the discussion