Final answer:
None of the provided answer choices match the given regression equation, îy=173.51 + 4.83x. The correct equation should be calculated using the slope and y-intercept, and it is used to predict the dependent variable outcomes.
Step-by-step explanation:
The question asks about the equation of the least squares regression line for a given dataset. To determine the least squares regression line, one would typically enter the data into a calculator, make a scatter plot, and use the calculator's regression function to find the equation.
None of the given equations, A) y = 2.984x - 112.38, B) y = -2.984x + 112.38, C) y = 112.38x - 2.984, or D) y = -0.756x + 112.38, match the provided regression line equation: îy=173.51 + 4.83x. Therefore, it seems there might be an issue with the question as the provided answers do not correspond to the given regression equation from the example.
However, to clarify the concept, the correct equation of a regression line is found by calculating the slope (m) and y-intercept (b), using the formula y = mx + b. The line can then be graphed on the scatter plot to visualize the best fit. This process is essential to predict outcomes for the dependent variable based on values of the independent variable.