I need to know the answer please send the answer to me on paper and work it out on paper

Mathematics

1 answer:

iren [92.7K]3 years ago

8 0

Hey there, first off, the answer is +250. When you can't just look at a table and decipher the relationship between input and output you need to put in the grunt work.

Does the number increase when put into the machine? Yes! So it doesn't make sense to subtract. Any answer where you are subtracting from the original number can't be correct.

Okay, so we know the number increases when it goes into the machine, but what actually happens.

1 --> 251

2 --> 252

3 --> 253

4 --> 254

We can notice a pattern that all of the inputs are single digits, and the outputs are the single digit added to the quantity 250 - thus giving us our answer.

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A rental moving truck can haul a maximum of 7,500 pounds. Dejuan has boxes that weigh 40 pounds and boxes that weigh 75 pounds.

strojnjashka [21]

Answer:

2nd graph

Step-by-step explanation:

You have the next restriction:

x*40 + y*75 <= 7500

where

x: number of boxes that weigh 40

y: number of boxes that weigh 75

Every point below the line fulfill the equation, for example, x = 1 and y = 1 is in the shaded region because 40 + 75 is less than 7500. The difference between dashed and solid line is that in the first case the line is not included in the solution and in the second it is. In this case the line is solid because the restriction has a less or equal sign (<=), for example, point x = 0 and y = 100 is less or equal to 7500 and fulfill the equation.

5 0

3 years ago

Is there a relationship between the weight and price of a mountain bike? The following data set gives the weights and prices fo

melamori03 [73]

Answer:

Step-by-step explanation:

Hello!

The objective is to determine if there is a linear association between the price of a mountain bike (Y) and it's the weight (X).

Looking at the Scatterplot the data is dispersed in all quadrants of the graph, at first glance there seems to be some kind of functional relationship between the price and weight of mountain bike bicycles. If you are not too strict maybe there could be a slight negative relationship between them.

The linear regression model is E(Yi)= α + βXi

To find the regression model for this particular set of variables you have to estimate the intercept and the slope.

a= Y[bar] - bX[bar] = 1961.40 $

b= $\frac{sum XiYi-\frac{(sumXi)(sumYi)}{n} }{sumXi^2-\frac{(sumXi)^2}{n} }$ = -42.99 $/LB

^Yi= 1961.40 - 42.99Xi

$ 1961.40 is the estimated value of the average price if the weight of the mountain bike is zero. (It has no contextual sense)

-42.99 $/LB is the modification of the estimated average price every time the weight of the mountain bike.

In this item, you need yo obtain a value of price for a given value of weight. To do so all you have to do is replace the value on the estimated regression model:

^Y/X=3232= 1961.40 - 42.99*32= $585.72

I hope it helps!