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Explanation:
From the given regression analysis, we can determine the answers to the questions:
The "y" intercept value of the b0 coefficient (intercept) is -240.50. This represents the estimated weight (in pounds) when the height is zero.
The slope value b1, which corresponds to the coefficient for the height variable, is 5.50. This indicates that for every one-inch increase in height, the expected weight (in pounds) increases by 5.50.
To calculate the expected weight in pounds for a swimmer with a height of 63 inches, we can use the regression equation:
Weight = b0 + b1 * Height
Weight = -240.50 + 5.50 * 63
Weight = -240.50 + 346.50
Weight ≈ 106.00 pounds
Therefore, the expected weight for a swimmer with a height of 63 inches is approximately 106.00 pounds.
The relationship of 63 inches to weight can be considered a prediction because the regression analysis provides an equation that estimates the weight based on the height of the swimmers.
To predict the expected weight in pounds for a swimmer with a height of 70 inches, we can use the regression equation again:
Weight = -240.50 + 5.50 * 70
Weight = -240.50 + 385.00
Weight ≈ 144.50 pounds
Therefore, the expected weight for a swimmer with a height of 70 inches is approximately 144.50 pounds.
The relationship of 70 inches to weight can also be considered a prediction because the regression analysis provides an equation that estimates the weight based on the height of the swimmers.