Aline of regression y=-1,240 + 7.07x is the best fit line for a set of data comparing airfare with 30 days notice and one-day notice. find the best predicted cost of a ticket purchased one day in advance given that the cost of the ticket is $300 if purchased 30 day in advance of the flight.

$881

Step-by-step explanation:

Given : A line of regression y=-1,240 + 7.07 x is the best fit line for a set of data comparing airfare with 30 days notice and one-day notice.

To Find: Find the best predicted cost of a ticket purchased one day in advance given that the cost of the ticket is $300 if purchased 30 day in advance of the flight.

Solution:

Line pf Regression :

Where x is the cost of a ticket purchased on 30 days notice

y represents the cost of ticket on 1 day notice .

We are given that  the cost of ticket was $300 when purchased 30 day in advance of the flight.

So, substitute x = 300

Hence the best predicted cost of a ticket purchased one day in advance given that the cost of the ticket is $300 if purchased 30 day in advance of the flight is $881.

9.55 degrees.

step-by-step explanation:

the given angle is

1 cycle is equal to 2π radians. so 4π will be equal to two cycles.

5.166667π-4π = 1.166667π

hence, this angle goes a little more than negative x axis.

1.166667π-π= 0.166667π

hence, the reference angle is 0.166667π radians.

1 radian = 57.2958 degrees

now, in degrees, this should be equals to 9.55 degrees.