A. Construct a scatterplot of the following bivariate data:
1.
Age of person, in years | 11 | 12 | 13 | 14 | 15 |
Weight (kg) | 40 | 42 | 38 | 45 | 51 |
2.
Age of car, in years | 11 | 12 | 13 | 14 | 15 |
Mileage, in km/liter | 40 | 42 | 38 | 45 | 51 |
B. Identify the dependent and independent variable in each of the following pairs of variables. Write your answer on the space provided
1. The base and the area of the triangle.
Independent Variable:
Dependent Variable:
2. Cost and age of car.
Independent Variable:
Dependent Variable:
3. The age and birth date.
Independent Variable:
Dependent Variable
A.
1.
"\\bar{Y}=\\dfrac{1}{n}\\sum_iY_i=\\dfrac{216}{5}=43.2"
"SS_{XX}=\\sum_iX_i^2-\\dfrac{1}{n}(\\sum_iX_i)^2"
"=855-\\dfrac{(65)^2}{5}=10"
"SS_{YY}=\\sum_iY_i^2-\\dfrac{1}{n}(\\sum_iY_i)^2"
"=9434-\\dfrac{(216)^2}{5}=102.8"
"=2833-\\dfrac{65(216)}{5}=25"
"r=0.7797"
"0.4<r<0.7" Moderate positive correlation.
"n=\\bar{Y}-m\\bar{X}=10.7"
"Y=10.7+2.5X"
2.
"\\bar{Y}=\\dfrac{1}{n}\\sum_iY_i=\\dfrac{216}{5}=43.2"
"SS_{XX}=\\sum_iX_i^2-\\dfrac{1}{n}(\\sum_iX_i)^2"
"=855-\\dfrac{(65)^2}{5}=10"
"SS_{YY}=\\sum_iY_i^2-\\dfrac{1}{n}(\\sum_iY_i)^2"
"=9434-\\dfrac{(216)^2}{5}=102.8"
"=2833-\\dfrac{65(216)}{5}=25"
"r=0.7797"
"0.4<r<0.7" Moderate positive correlation
"n=\\bar{Y}-m\\bar{X}=10.7"
"Y=10.7+2.5X"
B.
1. The base and the area of the triangle.
Independent Variable: base
Dependent Variable: area
2. Cost and age of car.
Independent Variable: age of car
Dependent Variable: cost
3. The age and birth date.
Independent Variable: birth date
Dependent Variable: age
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