The fitted regression equation is
, based on the data.
The correct plot looks like
So the correct option is (D)
When x = 498 the predicted value of y is 0.051*498 +13.99 = 40 ( approximately)
So the correct option is (B).
Find the equation of the regression line for the given data. Then construct a scatter plot...
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 Height, x 768 628 518 511 491 478 (a)...
0 Find the equation of the regression line for the given data. The construct a scatter plot of the date and draw the regression in (The pair of we have a significant corelation) Then use the regression equation to predict the value ofy for each of the given x-vous meaningful. The table below shows the heights on tool and the number of stories of si notable buildings in a city Helght, 775 510 500 (0) 500 fot b)x500 Stories 37...
519 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 Height, 778 621 510 494 473 (a) x...
Find the equation of the regression line for the given data. Then construct a scater plot of the data and draw the regression line (The pair of variubles have a significant comelation) Then use the regression equation to predict the vakue of y for each of the given x-values, if meaningul The table below shows the heights (in feet) and the number of shories of six notable buildings in a city 758 Height, K Stories, y 621 47 (a)490 feet...
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 variaties have a significant correlation) Then use the regression equation to predict the value of yo each of the given x-values, if meaningful. The table below shows the height in feet) and the number of stories of six notable buildings in a city Heights 772 5110 503 483 Stories 51 (a)x= 501 foot...
Find the equation of the regression line for the given data Then construct a cate plot of the data and draw the regressionline(The pair of variables have a significant correlation) Then use the regression equation to pred 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 she notable buildings in a city Height, 766 620 508 (a)x562 fost (h) x646 feet Stories, y...
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 significa 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. Height, x 758 621 518 510 492 483 (a)...
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 number of hours 6 students spent for a test and their scores on that test are shown below. (a) x=3hours (b) x=4.5hours (c) x=14hours (d) x=2.5hour Find the...
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 has a significant correlation.) Then use the regressiorn equation to predict the value of y for each of the given x-values, if meaningful. The table shows the shoe size and heights (in) for 6 men Shoe size: x-T8.5 110T15|130|135 (a) x=size 10 0 (b)x-size 10.5 3.5 745 725(c)x-s size 16.0 (d)x- size...
Find the equation of the regression line for the given data. Then construet a scatter plot of the data and draw the regression line. (Each pair of variables has a significant corrlaton.) Then use the regression equation to predict the value of y for each of the given x-valu meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 120 330 alories, x odium 160 430 190 520 (a)...