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2 years ago

What transformation is used on Data Set 1 to produce Data Set 2?

Mathematics

1 answer:

stepan [7]2 years ago

7 0

Answer:

option à is correct

Step-by-step explanation:

pls mak me brainlist answer

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Questions 2 & 4 please help me

Andreas93 [3]

2. He can break his strand of 10 blocks into 3 3 times 4. I think it is 74 blocks are needed.

4 0

3 years ago

Can you please help me get this done it’s due TOMORROW!

siniylev [52]

Answer:

Hi , the answer is 280-140/ 4-2 = 140/2

y = 2/140 x

b . 70 beats each minute

Step-by-step explanation:

we will take a 2 point from the graph

(280,4) , (y1,x1) and (140, 2) , (y2,x2) each point represent a (y,x) point

m = y1-y2 / x1-x2 = 280-140 / 4-2 = 140 /2

now , y/x = 140/2 ... by B. Multiplication we will get y = 2/140 x

b .

from the graph we see that every minute the curve increase 70 beats

Thanks

8 0

2 years ago

Does this table represent a function or not? Why or why not?

kirill115 [55]

Answer:

D. No, because two of the y-values are the same

Step-by-step explanation:

The y values cannot be the same

7 0

2 years ago

Read 2 more answers

Find the percent of decrease from 240 to 120. Round to the nearest tenth of a percent, if necessary.

KiRa [710]

the difference from 240 to 120 is 50%

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

2 years ago