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Alchen [17]
3 years ago
13

Vertical angles are adjacent. true false

Mathematics
1 answer:
vampirchik [111]3 years ago
4 0
False, you need a line between the two in order for them to be two adjacent lines, otherwise they would only be on line. The two vertical lines are separated by the other,  making it not adjacent. 
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Brock is a plumber. He charges a flat rate of $40 to visit a house to inspect it's plumbing. He charges an additional $20 for ev
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7 0
3 years ago
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If k stands for an integer, then is it possible for k2 + k to stand for an odd integer? Be prepared to justify your answer.
BartSMP [9]

Answer:

<em>k^2 + k never stands for an odd integer</em>

Step-by-step explanation:

Let us consider either case with which k stands for an odd or even integer;

Case 1: k is an odd integer

For integer a, k = 2a + 1

So, k + 1 = 2a + 2 = 2( a + 1 ) = 2b for integer b

k^2 + k = k ( k + 1 ) = k ( 2b ) = 2kb = 2c for integer c,

<em>Therefore, if k is an odd integer, then k^2 + k is an even integer ;</em>

Case 2: k is an even integer

For an integer a, k = 2a

So, k + 1 = 2a + 1

k^2 + k = k( k+1 ) = 2a( 2a + 1 ) , multiple of 2

<em>Therefore, if k is an even integer, then k^2 + k is an even integer;</em>

<em>This would make k^2 + k never stand for an odd integer</em>

5 0
3 years ago
In which branch of statistics would a researcher acquire twenty-five 2000 Toyota Celicas, drive them until they had a major mech
AURORKA [14]

Answer:

The answer is "descriptive statistics".

Step-by-step explanation:

Descriptive statistics are short descriptive factors that add up a production set, that can be either a reflection of a whole or a sample population. It is broken down into cumulative frequency measurements and variance measurements. The study uses descriptive statistics to explain the profile of the respondents. People give simple summaries about the sample as well as the actions.

6 0
3 years ago
What does a residual value of –4.5 mean in reference to the line of best fit?
Step2247 [10]

Answer:

The residual value is the difference between the observed value (from the scatter plot) and the predicted value (from the line of best fit).


Step-by-step explanation:

The residual value is the difference between the observed value (from the scatter plot) and the predicted value (from the line of best fit).

Residual Value = Observed Value - Predicted Value

<em>Since the residual value of -4.5 is negative, we can say the predicted value is larger than the observed value. In other words, the line of best fit is "above" the scatter plot point in that specific point.</em>

7 0
3 years ago
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