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tensa zangetsu [6.8K]
3 years ago
7

John rides his horse with a constant speed of 13 kilometers an hour how long will he take to travel a distance of 28.2 kilometer

s
Mathematics
1 answer:
Y_Kistochka [10]3 years ago
8 0
Speed x time to find distance
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M
AVprozaik [17]

Step-by-step explanation:

Y is directly proportional to X" can be rewritten as a mathematical expression of the form Y = KX

"K" is the constant of proportionality and must be determined from the initial information.

If Y = 2/3 when X=1/12means 2/3=1/12

K = 2/3÷1/12 = 8

Now that we know the value of K, we can use it to calculate the value of Y when X=1/2

Y = (8)(1/2) = 8/2=4

Y=4

8 0
2 years ago
How can you use two-way tables to solve for probabilities?
Alona [7]

Answer:

A two-way table is a way to organise data about two specific variables. This example shows a two-way table where the variables are gender and favourite sport.

Step-by-step explanation:

8 0
3 years ago
marc had 6n marbles. he gave 9 marbles to each of his cousins and had 4n marbles left. find how many cousins marc had in terms o
Vilka [71]

Answer:

9c=2n

Step-by-step explanation:

6n-9c=4n.

9c=2n

3 0
2 years ago
Read 2 more answers
PLEASE HELP! I AM CRYING AND NEED HELP :'(
Svetllana [295]

Answer:

9300

Step-by-step explanation:

To find the total surface are of 150 boxes, all we have to do is multiply the surface area of one box ( 62 which was calculated on this question brainly.com/question/23446865 ) by the total amount of boxes (150)

So your answer = 150 * 62 which equals 9300

4 0
3 years ago
What is the difference between the population and sample regression functions? Is this a distinction without difference?
GrogVix [38]

Answer:

See explanation below.

Step-by-step explanation:

When we want to fit a linear model given by:

y = \beta_0 + \beta_1 x

Where y is a vector with the observations of the dependent variable, \beta_0 , \beta_1 the parameters of the model and x the vector with the observations of the independent variable.

For this case this population regression function represent the conditional mean of the variable Y with values of X constant. And since is a population regression the parameters are not known, for this reason we use the sample data to obtain the sample regression in order to estimate the parameters of interest \beta_0, \beta_1

We can use any method in order to estimate the parameters for example least squares minimizing the difference between the fitted and the real observations for the dependenet variable.  After we find the estimators for the regression model then we have a model with the estimated parameters like this one:

\hat y = \hat b_0 +\hat b_1 x

With \hat \beta_0 = b_o , \hat \beta_1 = b_1

And this model represent the sample regression function, and this equation shows to use the estimated relation between the dependent and the independent variable.

8 0
3 years ago
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