zeesharpe05
22.09.2019 •
Mathematics
The data in the table represent the fuel economy (mpg) for a car at different speeds (mph).
according to the least squares regression equation, what is the approximate fuel economy for this vehicle at 65 mph?
a) about 46 mpg
b) about 49 mpg
c) about 22 mpg
d) about 36 mpg
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Ответ:
The second-best match is to a quadratic function, which predicts mileage of 29.8 mpg at 65 mph.
Linear regression predicts mileage of about 36.6 mpg at 65 mph.
It appears the best choice of those offered is (D) about 36 mpg.
Ответ:
Step-by-step explanation:
P(sum)= 2On the left: possible outcome has the value of 1 (1) =
On the right: 1 possible outcome has the value of 1 (1)=
=> the probability of possible P(sum)= 2
=
* 
=
P(sum)= 3On the left: possible outcome has the value of 1 =
On the right: 1 possible outcome has the value of 2 =
On the left: possible outcome has the value of 2 =
On the right: 1 possible outcome has the value of 1 =
=> the probability of possible P(sum)= 3
=
*
+ 
*
=
P(sum)= 4On the left: possible outcome has the value of 1 =
On the right: 1 possible outcome has the value of 3 =
On the left: possible outcome has the value of 2 =
On the right: 1 possible outcome has the value of 2=
=> the probability of possible P(sum)= 4
=
*
+ 
*
=
P(sum)= 5On the left: possible outcome has the value of 2 =
On the right: 1 possible outcome has the value of 3 =
=> the probability of possible P(sum)= 5
=
* 
=