All categories

3 years ago

7:3 = __:24 equalivalent ratio

Mathematics

2 answers:

nikitadnepr [17]3 years ago

8 0

Answer:

7:3 = 56:24

Step-by-step explanation:

Luda [366]3 years ago

5 0

Answer:

i believe the answer is 56:24

Step-by-step explanation:

You might be interested in

(x+3)^0 Rewrite the equation with positive exponents and simplify. x≠-3.

sveta [45]

$\huge\text{Hey there!}$

$\huge\textbf{Equation:}$

$\mathsf{(x + 3)^0}$

$\huge\textbf{Simplifying:}$

$\mathsf{(x + 3)^0}$

$\text{Anything raised to the 0 power it automatically equal to 1.}$

$\huge\text{So, this mean that your answer should be: \boxed{\mathsf 1}}\huge\checkmark$

$\huge\text{Good luck on your assignment \& enjoy your day!}$

~ $\frak{Amphitrite1040:)}$

3 0

2 years ago

The mean high temperature for 36 days in July in Detroit, Michigan was 88 degrees with a standard deviation of 6 degrees. The me

Pie

Answer:

dogwater literally free so freeee!!!!

Step-by-step explanation:

4 0

3 years ago

What is the slope of the line

bija089 [108]

Answer:

The slope of the line is 1/2x

Step-by-step explanation:

6 0

3 years ago

According to industry sources, online banking is expected to take off in the near future. The projected number of households (in

Airida [17]

Answer:

(a) The least-square regression line is: $y=4.662+2.709x$ .

(b) The number of households using online banking at the beginning of 2007 is 31.8.

Step-by-step explanation:

The general form of a least square regression line is:

$y=\alpha +\beta x$

Here,

y = dependent variable

x = independent variable

α = intercept

β = slope

(a)

The formula to compute intercept and slope is:

$\begin{aligned} \alpha &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} \\\beta &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} \end{aligned}$

The values of ∑X, ∑Y, ∑XY and ∑X² are computed in the table below.

Compute the value of intercept and slope as follows:

$\begin{aligned} \alpha &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 68.6 \cdot 55 - 15 \cdot 218.9}{ 6 \cdot 55 - 15^2} \approx 4.662 \\ \\\beta &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 6 \cdot 218.9 - 15 \cdot 68.6 }{ 6 \cdot 55 - \left( 15 \right)^2} \approx 2.709\end{aligned}$