Select [b]all [/b]the statements that must be true for [i]any[/i] scaled copy Q of Polygon 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[/img]
Quadrilateral [math]PQRS[/math] is a scaled copy of Quadrilateral [math]ABCD[/math]. Point [math]P[/math] corresponds to [math]A[/math], [math]Q[/math]to [math]B[/math], [math]R[/math] to [math]C[/math], and [math]S[/math] to [math]D[/math].[br]If the distance from [math]P[/math] to [math]R[/math] is 3 units, what is the distance from [math]Q[/math] to [math]S[/math]? Explain your reasoning.
Identify the points in Figure 2 that correspond to the points [math]A[/math] and [math]C[/math] in Figure 1. Label them [math]P[/math] and [math]R[/math]. What is the distance between [math]P[/math] and [math]R[/math]?
Identify the points in Figure 1 that correspond to the points [math]Q[/math] and [math]S[/math] in Figure 2. Label them [math]B[/math] and [math]D[/math]. What is the distance between [math]B[/math] and [math]D[/math]?
What is the scale factor that takes Figure 1 to Figure 2?
Figure 2 is a scaled copy of Figure 1. G and H are two points on Figure 1, but they are not shown. The distance between G and H is 1. What is the distance between the corresponding points on Figure 2?
To make 1 batch of lavender paint, the ratio of cups of pink paint to cups of blue paint is 6 to 5. Find two more ratios of cups of pink paint to cups of blue paint that are equivalent to this ratio.