Answer:
the equation of the least-squares line for the data is: 
Step-by-step explanation:
In a simple linear regression model, such as,
, the coefficients bo and b1 are estimated through the method of least squares by the use of the equations:

For the data provided you have to:
, thus:

the equation of the least-squares line for the data is:

Answer:
it would be 61 tiles i think
Step-by-step explanation:
Answer:
0.016
Step-by-step explanation:
hopefully i helpled
Hello there, Lithommie
You see accroding to newtons gravitational law an object that weighs more on earth wieghs less in space due to the lack of strenthness of gravity.
If my answer helped you understand more clearly i would glady apriciate brainliest thank you and have a great day!
Answer:
the answer is attached to the picture