All categories

3 years ago

Dependent or Independent

Mathematics

1 answer:

andriy [413]3 years ago

6 0

Answer:in

Step-by-step explanation:

You might be interested in

Tom takes two walks every day, one in the morning and one in the evening, and walks for a total of 5 ¼ hours in a 7-day week If

exis [7]

Answer:

30 minutes each evening

Step-by-step explanation:

5.25 / 7 = 0.75 hours each day = 45 minutes

45 - 15 = 30 minutes

5 0

3 years ago

Choose the student with the correct answer. Pls Help ;-;

Dafna11 [192]

Answer:

Frida

Step-by-step explanation:

y = 1000(2)^x

Mrs. Smith is saying that the number of termites will double each week, and Mr. Smith is saying that the number of termites will increase by 100% each week.

Let's just look at (2)^x. If we substitute numbers for x, we get:

x = 1 ⇒ 2
x = 2 ⇒ 4
x = 3 ⇒ 8
x = 4 ⇒ 16
x = 5 ⇒ 32
x = 6 ⇒ 64
x = 7 ⇒ 128

We can see that the output number doubles by 2, or in other words, increases by 100% of its value.

Therefore, Frida is correct in thinking that both Mr. and Mrs. Smith's interpretations are correct.

6 0

2 years ago

A hexagon has two congruent sides that

dem82 [27]

Answer:

Step-by-step explanation:

2(10) + 4(x-3) = 44

4(x-3) = 24

x-3 = 6

x = 9

4 0

3 years ago

A rectangular garage is 15 yards long and 6 yards wide. It costs $8.00 per square yard to put in a new concrete floor. How much

Lorico [155]

Answer:

multiply 15 by 6 and you will get the area of the garage. multiply that by 8 and you will get the cost

6 0

3 years ago

Ten college students were randomly selected. Their grade point averages (GPAs) when they entered the program were between 3.5 a

solong [7]

Answer:

The 95% confidence interval for the true slope is (0.03985, 0.14206).

Step-by-step explanation:

For the regression equation:

$\hat y=\alpha +\hat \beta x$

The (1 - <em>α</em>)% confidence interval for the regression coefficient or slope $(\hat \beta )$ is:

$Ci=\hat \beta \pm t_{\alpha/2, (n-2)}\times SE(\hat \beta )$

The regression equation for current GPA (Y) of students based on their GPA's when entering the program (X) is:

$\hat Y=3.584756+0.090953 X$

The summary of the regression analysis is:

Predictor Coefficient SE t-stat p-value

Constant 3.584756 0.078183 45.85075 5.66 x 10⁻¹¹

Entering GPA 0.090953 0.022162 4.103932 0.003419

The regression coefficient and standard error are:

$\hat \beta = 0.090953\\SE (\hat \beta)=0.022162$

The critical value of <em>t</em> for 95% confidence level and 8 degrees of freedom is:

$t_{\alpha/2, n-2}=t_{0.05/2, 10-2}=t_{0.025, 8}=2.306$

Compute the 95% confidence interval for $(\hat \beta )$ as follows:

$CI=\hat \beta \pm t_{\alpha/2, (n-2)}\times SE(\hat \beta )\\=0.090953\pm 2.306\times 0.022162\\=0.090953\pm 0.051105572\\=(0.039847428, 0.142058572)\\\approx (0.03985, 0.14206)$

Thus, the 95% confidence interval for the true slope is (0.03985, 0.14206).

6 0

3 years ago