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Section II: Simple Linear Regression Simple linear regression is a parametric test used to estimate the relationship between two quantitative variables. a. By referring to various resources, explain the conditions under which Simple Linear Regression is used in statistical analysis. Support your explanation with appropriate examples. b. The data in the table below was recorded by a farm in Cameron Highlands to determine the relationship between a certain fertiliser and the strawberry yield. The land used to grow strawberry was divide into six equal plots. and each plot was treated with a different concentration (C) of fertiliser. The yield (Y) of strawberry on each plot of land within same period of time was recorded. Yield Y R m'2 Based on the above data. you are required to complete the following tasks. i. Draw and interpret the scatter plot. ii. Determine and interpret the coefficient of determination. iii. Obtain the equation of the regression line and subsequently draw the line. iv. Test the significance of the slope and interpret the result. v. Give explanation with examples on how to make predictions with the regression model