Answer:
(3, 3) × 13 = (39, 39)
(0, 3) × 13 = (0, 39)
(6, -6) × 13 = (78, -78)
(9, 6) × 13 = (117, 78)
Step-by-step explanation:
Because the center of dilation is at (0, 0), or the origin, we can just multiply the x and y values of each point by the scale factor of 13.
(3, 3) × 13 = (39, 39)
(0, 3) × 13 = (0, 39)
(6, -6) × 13 = (78, -78)
(9, 6) × 13 = (117, 78)
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Answer:
They must rent for less than 7 hours
Step-by-step explanation:
The charge for the room is the fee plus the hourly rate times the hour
f = 33+9.80t
This must be less than 101.60
101.60> 33+9.80t
Subtract 33 from each side
101.60-33> 33-33+9.80t
68.6> 9.80t
Divide each side by 9.8
68.8/9.8 > t
7>t
They must rent for less than 7 hours
Answer:
1.1) Rational
1.2) Rational
1.3) Irrational
1.4) Rational
1.5) Rational
1.6) Irrational
Step-by-step explanation:
Rational means it can be represented as a fraction where the numerator and denominator are whole numbers and vice versa for irrationals.
Answer:
x= 26°
Step-by-step explanation:
it's a 90 degree angle as a whole so just subtract 64° from 90° to get the other angle.
Answer:
See explanation below.
Step-by-step explanation:
When we want to fit a linear model given by:

Where y is a vector with the observations of the dependent variable,
the parameters of the model and x the vector with the observations of the independent variable.
For this case this population regression function represent the conditional mean of the variable Y with values of X constant. And since is a population regression the parameters are not known, for this reason we use the sample data to obtain the sample regression in order to estimate the parameters of interest 
We can use any method in order to estimate the parameters for example least squares minimizing the difference between the fitted and the real observations for the dependenet variable. After we find the estimators for the regression model then we have a model with the estimated parameters like this one:

With 
And this model represent the sample regression function, and this equation shows to use the estimated relation between the dependent and the independent variable.