Answer:
is less than one, smaller
<h3>
Answer: y = 5x+3</h3>
Explanation:
Parallel lines always have equal slopes, but different y intercepts.
Line K has a slope of 5, which means line L also has this slope too. Refer to the y = mx+b form.
Plug in the coordinates of (-2,-7) as well as the slope mentioned and solve for b.
y = mx+b
-7 = 5(-2) + b
-7 = -10+b
-7+10 = b
3 = b
b = 3
The y = mx+b updates to the final answer of y = 5x+3
Answer:
a) Sam attended the Manchester Christmas market.
Step-by-step explanation:
All the other sentences include another part:
...but didn't like it.
...and did it very well.
…but wasn't an expert.
Answer:
10x²+11-2x
Step-by-step explanation:
I hope you mean 7x²+8+5, not 7x²+8x+5.
We need to combine like terms. Anything with squared should be added together, et cetera.
(7x²+8+5)+(3x²-2x-2)
You can take out the parenthesis, because they don't matter in addition.
7x²+8+5+3x²-2x-2
Add the terms, step by step. Each bold pair needs to be added together.
7x²+8+5+3x²-2x-2
10x²+8+5-2x-2
10x²+11-2x
Now there's no more we can add together.
Answer:
Range = 2460 dollars, Variance = 516414.6 
, Standard deviation = 718.6199 dollars . There are two outliers and they are likely to have much of an effect on the measures of variation.
Step-by-step explanation:
The smallest value in the sample data is min = 50 dollars and the largest value is max = 2500 dollars, therefore, the range is Range = max - min = 2500 - 40 = 2460 dollars. On the other hand, the formula to compute the sample variance is 
where 
is the sample mean, n is the sample size and the 
are the sample values. In this case the sample variance is 
= 516414.6 , the sample standard deviation is defined as the squared root of the sample variance, so, the sample standard deviation is s = 718.6199 dollars. There are two outliers because 1750 dollars and 2500 dollars are very different compared to the other values, these two numbers are very large and they are likely to have much of an effect on the measures of variation because these measures are sensible to outliers, they are no robust measures.
