Answer:
what is it? you did not post the picture
Answer:4
Step-by-step explanation:2x+y+z=2(-2)+3+5=(-4)+3+5=(-1)+5=4
Answer:(6,-2)
Step-by-step explanation:
M is the midpoint of AB then ,
M = 
, 
, 
, 
so, B= (6,-2)
Answer:
y=2
Step-by-step explanation: horizon shows where the dotted line crosses the y axis
Answer: a. iv. The weight of a car can be used to explain about 79.6% of the variability in gas mileage using a linear relationship.
b. ii. There is a fairly strong, negative relationship between car weight and miles per gallon.
Step-by-step explanation:
- A coefficient of determination (denoted by R²) is a measure in a regression model that determines proportion of the variance in the dependent quantity that is predictable from the independent quantity.
- It is square of correlation coefficient (R).
Here, independent quantity = weight of a car
dependent quantity = miles per gallon (gas mileage)
The coefficient of determination (R²) was reported to be 79.6%.
That means, The weight of a car can be used to explain about 79.6% of the variability in gas mileage using a linear relationship.
- A correlation coefficient(R) tells about the strength and direction of relation .
- It lies between -1 and 1.
For the study, the correlation coefficient R is -0.8921.
There is a fairly strong, negative relationship between car weight and miles per gallon.
