Questions: b. Choose the correct choice below. A. The predictor is household size. The response is monthly water bill. Larger households tend to use more water. B. The predictor is monthly water bill. The response is household size. Larger water bills tend to result in smaller families. C. The predictor is household size. The response is monthly water bill. Larger households tend to use less water. D. The predictor is monthly water bill. The response is household size. Larger water bills tend to result in larger families.

b. Choose the correct choice below.
A. The predictor is household size. The response is monthly water bill. Larger households tend to use more water.
B. The predictor is monthly water bill. The response is household size. Larger water bills tend to result in smaller families.
C. The predictor is household size. The response is monthly water bill. Larger households tend to use less water.
D. The predictor is monthly water bill. The response is household size. Larger water bills tend to result in larger families.
Transcript text: b. Choose the correct choice below. A. The predictor is household size. The response is monthly water bill. Larger households tend to use more water. B. The predictor is monthly water bill. The response is household size. Larger water bills tend to result in smaller families. C. The predictor is household size. The response is monthly water bill. Larger households tend to use less water. D. The predictor is monthly water bill. The response is household size. Larger water bills tend to result in larger families.
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Solution

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Solution Steps

Step 1: Calculate the Means of \( x \) and \( y \)

The mean of \( x \) (household size) is calculated as: \[ \bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i = \frac{1 + 2 + 3 + 4 + 5 + 6}{6} = 3.5 \]

The mean of \( y \) (monthly water bill) is calculated as: \[ \bar{y} = \frac{1}{n} \sum_{i=1}^{n} y_i = \frac{30 + 45 + 60 + 75 + 90 + 105}{6} = 67.5 \]

Step 2: Calculate the Correlation Coefficient \( r \)

The correlation coefficient \( r \) is given as: \[ r = 1.0 \]

Step 3: Calculate the Slope \( \beta \)

The numerator for \( \beta \) is: \[ \sum_{i=1}^{n} x_i y_i - n \bar{x} \bar{y} = 1680 - 6 \cdot 3.5 \cdot 67.5 = 262.5 \]

The denominator for \( \beta \) is: \[ \sum_{i=1}^{n} x_i^2 - n \bar{x}^2 = 91 - 6 \cdot 3.5^2 = 17.5 \]

Thus, the slope \( \beta \) is: \[ \beta = \frac{262.5}{17.5} = 15.0 \]

Step 4: Calculate the Intercept \( \alpha \)

The intercept \( \alpha \) is: \[ \alpha = \bar{y} - \beta \bar{x} = 67.5 - 15.0 \cdot 3.5 = 15.0 \]

Step 5: Form the Line of Best Fit

The line of best fit is: \[ y = 15.0 + 15.0x \]

Step 6: Interpret the Results

Given the positive correlation coefficient \( r = 1.0 \) and the positive slope \( \beta = 15.0 \), we can conclude that larger households tend to use more water.

Final Answer

The correct choice is: \[ \boxed{\text{A. The predictor is household size. The response is monthly water bill. Larger households tend to use more water.}} \]

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