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BartSMP [9]
3 years ago
14

What is the coefficient of the variable in the expression 6 - 4x - 8 + 2?

Mathematics
1 answer:
Lana71 [14]3 years ago
4 0
The answer is -4. The coefficient of a variable is the numerical value directly in front of the variable.
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Show that the series is convergent by the alternating series test, and find the number of terms necessary to estimate the sum of
Murljashka [212]

Answer:

6 terms

Step-by-step explanation:

2 − 2/4 + 2/9 − 2/16 + ...

∑ (-1)ⁿ⁺¹ 2 / n²

Applying alternating series test:

lim(n→∞) 2/n² = 0

2/(n+1)² < 2/n², so the series is decreasing.

Therefore, the series converges.

2/(n+1)² < 0.05

(n+1)²/2 > 20

(n+1)² > 40

n+1 > 6.32

n > 5.32

n = 6

7 0
3 years ago
Input the equation of the given line in slope-intercept form. The line with m = 2 and b = -4.
lukranit [14]

Answer:

y = 2x - 4

Step-by-step explanation:

The equation of a line in slope- intercept form is

y = mx + b ( m is the slope and b the y- intercept )

here m = 2 and b = - 4

y = 2x - 4 ← equation of line

4 0
3 years ago
Charlie is watching hot air balloons. Balloon A has risen at a 60° angle. Balloon B has risen at an 82 angle. If the distance fr
Karo-lina-s [1.5K]

Step-by-step explanation:

b is the anwser or 1005 so there u go

6 0
3 years ago
Read 2 more answers
How can I calculate the angle of elevation from point A to B?​
Sav [38]
If I remember correctly I’m pretty sure you need to subtract
3 0
3 years ago
Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight
Schach [20]

Answer:

We are given the correlation between height and weight for adults is 0.40.

We need to find the proportion of the variability in weight that can be explained by the relationship with height.

We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent  variable. There the coefficient of determination is given below:

R^{2}=r^{2}=0.40^{2}=0.16

Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height



7 0
3 years ago
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