Write down all the subsets of the given set.{1, 4, 8, 12}
A. {1}, {4}, {8}, {12}, {1, 4}, {1, 8}, {1, 12}, {4, 8},
{4, 12}, {8, 12}, {1, 4, 8}, {1, 4, 12}, {1, 8, 12}, {4, 8, 12}, {1, 4, 8, 12}
B. {1}, {4}, {8}, {12}, {1, 4}, {1, 8}, {1, 12}, {4, 8},
{4, 12}, {8, 12}, {1, 4, 8}, {1, 4, 12}, {1, 8, 12},
{4, 8, 12}, ?
C. {1}, {4}, {8}, {12}, {1, 4}, {1, 8}, {1, 12}, {4, 8},
{4, 12}, {8, 12}, {1, 4, 8}, {1, 4, 12}, {1, 8, 12}, {4, 8, 12}, {1, 4, 8, 12}, ?
D. {1}, {4}, {8}, {12}, {1, 4}, {1, 8}, {1, 12}, {4, 8},
{4, 12}, {1, 4, 8}, {1, 4, 12}, {1, 8, 12}, {4, 8, 12},
{1, 4, 8, 12}, ?
Answer: C
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A. 2
B. 2x2y2
C. 2x2y2
D. 4x4y4
Find the following.Find -x when x is 0.
A. -7 B. -1 C. 0 D. 1
If tan?<0 and sin?<0, in what quadrant does ? lie?
What will be an ideal response?
Write the best-fit linear model for the data.Ten students in a graduate program were randomly selected. Their grade point averages (GPAs) when they entered the program were between 3.5 and 4.0. The following data were obtained regarding their GPAs on entering the program versus their current GPAs. Find a linear function that approximates a student's current GPA as a function of his or her entering GPA.Entering GPACurrent GPA
A. y = 2.51 + 0.329x B. y = 5.81 + 0.497x C. y = 4.91 + 0.0212x D. y = 3.67 + 0.0313x