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2 years ago

Solve: 98-X = 27X-3 O A. x = 5 O B. X= -5 O C. X = -1/5 D. X = 1/5

Mathematics

1 answer:

FrozenT [24]2 years ago

3 0

Answer:

Honeslty its 5 idrk if its - or positive

Step-by-step explanation:

Sorry for not really helping

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Each month Liz pays $35 to her phone company just to use the phone. Each text she sends costs her an additional $0.05. In March

damaskus [11]

How i would solve it is
1. 72.6-35=37.6
2. 37.6/.05=752
and for April you can do the same process phone bill - 35 for usage then divide the answer by .05

5 0

3 years ago

8i-(12-4i)+7√-9<br><br> show work please

Tanya [424]

Answer:

33i - 12

Step-by-step explanation:

$8i - (12 - 4i) + 7 \sqrt{ - 9} \\ = 8i - 12 + 4i + 7 \sqrt{9 \times ( - 1)} \\ = 12i - 12 + 7 \times 3 \sqrt{ - 1} \\ = 12i - 12 + 21i \: \: ( \because \sqrt{ - 1} = i)\\ = 12i + 21i - 12 \\ \therefore \red{ \bold{8i - (12 - 4i) + 7 \sqrt{ - 9} }= \purple{ \bold{33i - 12}}}$

5 0

3 years ago

I need help on this question

nadezda [96]

Answer:

(12.2,-6.4)

Step-by-step explanation:

The results from Desmos are as shown.

The displayed values are (12.294, -6.353)

4 0

3 years ago

Which expression could be used to solve the problem?

Paladinen [302]

THE ANSWER IS D whoops lol sorry i was in an argument lol

4 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