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3 years ago

9

Answer the statistical measures and create a box and whiskers plot for the following set of data. 4,5,6,6,7, 13, 13, 13, 13, 14,

15, 15, 16, 16, 16 Min: Q1: Med:23: Max: Create the box plot by dragging the lines: FO ЕО EN 2 19 20 10 11 16 17 12 13 18 14 15 9 1 3 4 5

1 answer:

stiv31 [10]3 years ago

8 0

Answer:

can you add a picture or something to work with?

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Help, I don’t understand

Agata [3.3K]

Answer: -1

Step-by-step explanation: f(x) is another way of saying y. So when y is 3, according to the table, x is -1

3 0

2 years ago

How to solve for 1000(x-2)=75000

Andrews [41]

So, first you divide 75000 by 1000. Then you add 2 to each side. Then that's the answer, x=77

8 0

3 years ago

Read 2 more answers

nancy started the year with $425 in the bank and is saving $25 a week. Seamus started the year with $875 and is spending $15 a w

Goryan [66]

They will have same amount in 45 weeks.

Step-by-step explanation:

Given,

Starting amount of Nancy = $425

Per week saving = $25

Let,

x represent the number of weeks.

N(x) = 25x+425

Starting amount of Seamus = $875

Per week saving = $15

S(x) = 15x+875

For same amount;

N(x) = S(x)

$25x+425=15x=875\\25x-15x=875-425\\10x=450$

Dividing both sides by 10

$\frac{10x}{10}=\frac{450}{10}\\x=45$

They will have same amount in 45 weeks.

Keywords: function, division

Learn more about functions at:

#LearnwithBrainly

3 0

3 years ago

The least-squares regression model y =−3.4+5.2x and correlation coefficient r=−0.66 were calculated for a set of bivariate data

Makovka662 [10]

Answer:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

$r^2 = (-0.66)^2 = 0.4356$

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

Step-by-step explanation:

For this case we need to calculate the slope with the following formula:

$m=\frac{S_{xy}}{S_{xx}}$

Where:

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}$

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}$

$\bar x= \frac{\sum x_i}{n}$

$\bar y= \frac{\sum y_i}{n}$

And we can find the intercept using this:

$b=\bar y -m \bar x$

And the model obtained for this case is:

$y = -3.4 +5.2 x$

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

And in order to calculate the correlation coefficient we can use this formula:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

$r^2 = (-0.66)^2 = 0.4356$

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

8 0

3 years ago

HELP I need the know if it's going across the y or going across the x don't send no FILE ONLY ANSWER IF YOU REALLY KNOW question

baherus [9]

both the x and y line

7 0

3 years ago