Which postulate can be used to prove that the triangles are congruent?

. A telephone company charges $0.05 per minute for local calls and $0.12 per minute for long distance calls. which expression gi

makvit [3.9K]

By hypothesis, each minute of local calls costs $0.05
So x minutes of local calls will cost 0.05x : You just multiply the cost of 1 minute by the total amount of minutes.
Same thing for long distances calls: Each minute costs $0.12, so y minutes of long distance calls will cost 0.12x

So to get your total charge (local calls + long distance calls), you just need to add the charges for local calls with the charges for long distance calls, which means that you need to add the expressions we got previously:

P = 0.05x + 0.12y (with P the total charge)

Hope this Helps! :)

6 0

4 years ago

Here is a histogram that shows the number of points scored by a college basketball player during the 2008 season. Describe the s

natima [27]

The shape of the histogram is positively skewed and the mean of the histogram is greater than the median

<h3>How to interpret the histogram?</h3>

From the complete question (see attachment for histogram), we have the following observations:

The bars at the left have greater heights than the bars at the right
The bars are of equal widths

The first highlight above means that the shape of the histogram is positively skewed.

This also means that the mean of the histogram is greater than the median

Read more about histograms at:

brainly.com/question/2962546

#SPJ1

5 0

2 years ago

The estimate regression equation for a model involving two independent variables and 10 observations follows.

True [87]

Answer:

a) $b_1 = 0.5906\\b_2 = 0.4980$

b) y = 289.815

Step-by-step explanation:

We are given the following information:

The estimate regression equation for a model involving two independent variables and 10 observations follows:

$y = 29.1270 + 0.5906x_1 + 0.4980x_2$

where $x_1, x_2$ are the two independent variable and y is the dependent variable.

a) The regression line is of the form:

$y = b_0 + b_1x_1 + b_2x_2\\\text{where } b_0 \text{ is the y-intercept and }b_1, b_2\text{ are the coefficients of} x_1, x_2\text{ respectively}$

Comparing, we get,

$b_1 = 0.5906\\b_2 = 0.4980$

These are the coefficients of $x_1, x_2$ respectively, and helps us to know the the significance of the independent variable in predicting the independent variable.

b) We have to estimate y when

$x_1 = 180 \text{ and } x_2 = 310\\y = 29.1270 + 0.5906x_1 + 0.4980x_2\\\text{Putting values}\\y = 29.1270 + 0.5906(180) + 0.4980(320)\\y = 289.815$