Sovi.AI - AI Math Tutor

Scan to solve math questions

QUESTION IMAGE

find the equation of the regression line for the given data. then const…

Question

find the equation of the regression line for the given data. then construct a scatter plot of the data and draw the regression line. (the pair of variables have a significant correlation.) then use the regression equation to predict the value of y for each of the given x - values, if meaningful. the table below shows the heights (in feet) and the number of stories of six notable buildings in a city. (a) x = 499 feet (b) x = 641 feet (c) x = 318 feet (d) x = 732 feet (a) predict the value of y for x = 499. choose the correct answer below. (b) predict the value of y for x = 641. choose the correct answer below. (c) predict the value of y for x = 318. choose the correct answer below.

Explanation:

First, we need to find the regression equation for the given data. Let's list the data points:
(768, 52), (628, 48), (518, 45), (511, 43), (491, 39), (478, 38)

Step 1: Calculate means of x and y

$\bar{x} = \frac{768+628+518+511+491+478}{6} = \frac{3394}{6} \approx 565.67$
$\bar{y} = \frac{52+48+45+43+39+38}{6} = \frac{265}{6} \approx 44.17$

Step 2: Calculate slope (b)

$b = \frac{\sum(x_i-\bar{x})(y_i-\bar{y})}{\sum(x_i-\bar{x})^2}$
Compute numerator:
$(768-565.67)(52-44.17) + (628-565.67)(48-44.17) + (518-565.67)(45-44.17) + (511-565.67)(43-44.17) + (491-565.67)(39-44.17) + (478-565.67)(38-44.17)$
$\approx (202.33)(7.83) + (62.33)(3.83) + (-47.67)(0.83) + (-54.67)(-1.17) + (-74.67)(-5.17) + (-87.67)(-6.17)$
$\approx 1584.24 + 238.72 - 39.57 + 63.96 + 386.04 + 541.92 \approx 2775.31$

Denominator:
$(202.33)^2 + (62.33)^2 + (-47.67)^2 + (-54.67)^2 + (-74.67)^2 + (-87.67)^2$
$\approx 40937.43 + 3885.03 + 2272.43 + 2988.81 + 5575.61 + 7686.03 \approx 63345.34$

$b \approx \frac{2775.31}{63345.34} \approx 0.0438$

Step 3: Calculate intercept (a)

$a = \bar{y} - b\bar{x} \approx 44.17 - 0.0438(565.67) \approx 44.17 - 24.78 \approx 19.39$

Regression equation: $\hat{y} = 19.39 + 0.0438x$

(a) Predict y when x=499

$\hat{y} = 19.39 + 0.0438(499) \approx 19.39 + 21.86 \approx 41.25 \approx 41$

Answer:

B. 41

(b) Predict y when x=641

$\hat{y} = 19.39 + 0.0438(641) \approx 19.39 + 28.08 \approx 47.47 \approx 48$