A.Parallelogram JKLM is rotated 90° clockwise and then reflected across the y-axis to form parallelogram JꞌꞌKꞌꞌLꞌꞌMꞌꞌ.
B.Parallelogram JKLM is dilated by a scale factor of 6 and then translated 2 units down to form parallelogram JꞌꞌKꞌꞌLꞌꞌMꞌꞌ.
C.Parallelogram JKLM is translated 6 units up and then dilated by a scale factor of 10 to form parallelogram JꞌꞌKꞌꞌLꞌꞌMꞌꞌ.
D.Parallelogram JKLM is translated 8 units left and then reflected across the x-axis to form parallelogram JꞌꞌKꞌꞌLꞌꞌMꞌꞌ
Answer:
B.Parallelogram JKLM is dilated by a scale factor of 6 and then translated 2 units down to form parallelogram JꞌꞌKꞌꞌLꞌꞌMꞌꞌ; and C.Parallelogram JKLM is translated 6 units up and then dilated by a scale factor of 10 to form parallelogram JꞌꞌKꞌꞌLꞌꞌMꞌꞌ.
Step-by-step explanation:
Some transformations are called rigid transformations. This is because they preserve congruence. These are translations, rotations and reflections. Any combination of these three transformations will result in congruent figures.
This means if we want similar and not congruent figures, the figure must be dilated. The only two choices that mention dilations are B and C.
The adjusted multiple coefficient of determination accounts for the number of independent variables in the model.
The adjusted multiple coefficient of determination, also known as the adjusted R-squared, is a statistical measure used in regression analysis to assess the goodness-of-fit of a regression model. It takes into account the number of independent variables in the model and adjusts the coefficient of determination (R-squared) to account for the degrees of freedom.
The adjusted R-squared provides a more accurate measure of the model's predictive power by penalizing the inclusion of unnecessary variables that do not contribute significantly to the model's explanatory power. It helps to prevent overfitting and provides a more reliable estimate of the model's performance.
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