In: Statistics and Probability
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below.
font size decreased by 1 font size increased by 1 Calories comma xCalories, x |
150150 |
180180 |
130130 |
130130 |
8080 |
190190 |
|
(a)
xequals=160160 calories |
(b)
xequals=100100 calories |
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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sodium, y |
410410 |
460460 |
320320 |
370370 |
260260 |
520520 |
(c)
xequals=120120 calories |
(d)
xequals=220220 calories |
Find the regression equation.
ModifyingAbove y with caretyequals=nothing xplus+(nothing )
(Round to three decimal places as needed.)
The regression equation
a) Given X = 160
Given regression equation y = 61.176 + 2.294 * x
y = 61.176 + 2.294 *160
= 428.216
b) Given X = 100
Given regression equation y = 61.176 + 2.294 * x
y = 61.176 + 2.294 *100
= 290.576
c) Given X = 120
Given regression equation y = 61.176 + 2.294 * x
y = 61.176 + 2.294 *120
= 336.456
d) Given X = 220
Given regression equation y = 61.176 + 2.294 * x
y = 61.176 + 2.294 *220
= 565.856