Right triangle ABC is reflected over AC, then dilated by a scale factor of Two-thirds to form triangle DEC. Which statements abo
1 answer:
The triangle △ABC and △DEC are similar to each other. Then the correct option is A, B, and D.
<h3>What is a transformation of a point?</h3>A spatial transformation is each mapping of feature space to itself and it maintains some spatial correlation between figures.
Right triangle ABC is reflected over AC.
Then dilated by a scale factor of Two-thirds to form triangle DEC.
The triangle △ABC and △DEC are similar to each other.
△ABC ≅ △DEC
The dilation is 2/3. Then we have
DE / AB = 2 / 3
3AB = 2DE
∠B ≅ ∠E = 90
There is no effect of dilation on angle.
Then the correct option is A, B, and D.
More about the transformation of a point link is given below.
#SPJ1
You might be interested in
The integral that is needed to solve the demand function is R(x) = 599x - 0.14
A demand function describes the mathematical relationship between the quantity demanded and one or more determinants of the demand, as the price of the good or service, the price of complementary and substitute goods, disposable income, etc.
Here, given differential equation;
R'(x) = 599 - 0.21
we can also write this as;
On integrating both sides, we get
R(x) = + C
R(x) = 599x - 0.14 + C ...........(i)
Also given, at x = 0, R(x) = 0, Put these values in equation (i), we get
0 = 0 - 0 + C
C = 0
Put the value of C in equation (i), we get
R(x) = 599x - 0.14
Thus, the integral that is needed to solve the demand function is R(x) = 599x - 0.14
Learn more about Demand Function from:
#SPJ1
<u>Answer-</u>
<em>The </em><em>exponential model</em><em> best fits the data set.</em>
<u>Solution-</u>
x = input variable = number of practice throws
y = output variable = number of free throws
Using Excel, Linear, Quadratic and Exponential regression model were generated.
The best fit equation and co-efficient of determination R² are as follows,
<u>Linear Regression</u>
<u>Quadratic Regression</u>
<u>Exponential Regression</u>
The value of co-efficient of determination R² ranges from 0 to 1, the more closer its value to 1 the better the regression model is.
Now,
Therefore, the Exponential Regression model must be followed.
