Math help please! Will give 20 points!1. A football is kicked at 40 yards away from a goal post that is 10 feet high. Its path is modeled by y = -0.03x 2 + 1.6x, where x is the horizontal distance in yards traveled by the football and y is the corresponding height above the ground in feet.

Does the football go over the goal post? How far above or below the goal post is the football? Use two or more complete sentences to explain your answers. (Hint: The unit conversion is built into the given function.)



Vertical Motion Model

The height, h, in feet of a projectile can be modeled by h = -16t 2 + vt + s where t is the time in the air in seconds, v is the initial vertical velocity, and s is the initial height in feet.



2. A ball is thrown from 4 feet off the ground with a vertical velocity of 30 feet per second.

Write an equation to model the height of the ball: h = -16t 2 ___t + ____.

Complete the table.

Time t in seconds 0 0.5 1 1.5 ?
Height h in feet ? ? ? ? 0


3. A ball is thrown from 4 feet off the ground with a vertical velocity of 30 feet per second.

Is the ball at its maximum height after 1 second? In two or more complete sentences, explain how you know whether or not the ball is at its maximum height.

Answers

Answer 1
Answer: at goal post x= 35 
the height will be y= –0.03x2 + 1.6x= 19.25 > 15  
is 4.25 feet above the goal post.

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Which property can be used to show that if 3a = 4b, then 4b = 3a?

Solve for x 4=(-8)+3x

Answers

Let's solve your equation step-by-step.4=−8+3xStep 1: Simplify both sides of the equation.4=3x−8Step 2: Flip the equation.3x−8=4Step 3: Add 8 to both sides.3x−8+8=4+83x=12Step 4: Divide both sides by 3.3x3=123x=4Answer:x=4
4=(-8)+3x
4+8=(-8+8)+3x
12=3x
12/3=4
X=4

Hope that helps!!

How many edges does a cube have?

Answers

A cube has 12 edges ( 4 on top, 4 under and 4 from top to bottom)

If you grow 523 eggplants and sell 378, how many do you have left? A. 901 B. 154 C. 197 End of exam D. 145

Answers

Remaining eggplants= Total number of eggplants-sold eggplants
=523-378
=145 eggplants remaining
The answer to this is D

A sneaker store salesman had $4,125 in total monthly sales last month. he made $165 in commission from those sales. what is the salesman's commission as a percent of his total monthly sales?

Answers

He made (165)/(4125) as a commission. To turn that into a percentage, you need to make the bottom become 100. Multiply the top and bottom by (100)/(4125) to get the proper fraction. The fraction now is ((16500)/(4125))/(100) This simplifies to (4)/(100). Now all you need to do is take the top of that fraction to get the percentage, which is 4%.

4%

What fraction of students wears black or white shoes? 1/2 wear black shoes and 2/5 wear white shoes

Answers

Answer:

Step-by-step explanation:

You want to add these two fraction together so they need to have the same denominator. Find the common denominator by multiplying both denominators

2x5=10

then convert the fractions

(1/2)x5=5/10

(2/5)x2=4/10

now you can add them

(5/10)+(4/10)=9/10

so 9/10 students wear black or white shoes

Give one real life example of each correlation: positive, negative, and no correlation.

Answers

A real life example of a positive correlation would be to to see an increase of popsicle sales when the temperature is warm. This would increase profit. 

A negative example would be to sell ice cream in the winter time. The temperature outside is cold, therefore people want to eat and drink warmer items. They would probably prefer cocoa at this time.

No correlation would be something like cake. Cake is eaten throughout each year and has never been out of style. This means sales would be steady throughout the year.

For each of these examples, I have attached an image provide showing work to fully understand the problem.

Positive correlation

The number of kids at the playground and the number of swings being used

As the number of kids at the playground increases, the number of swings being used will increase. When both variables increase, they have a positive correlation. Thus, the situation in this problem has a positive correlation.

If we sketch a scatter plot for this situation, notice that the number of kids at the playground would be on the x-axis and the number of swings being used would be on the y-axis.

We can predict that if the number of kids at the playground increases, then the number of swings being used would also increase. Since this is only a sketch, it's not important exactly where our points are. Instead, we simply want to draw the points so our scatter plot has a line of best fit line with an upward of positive slope.

The image for this correlation is the first attachment.

Negative correlation

The amount of time Diaco spends goofing off in class and the grade Dicaco earns in the class

Notice that if the amount of time that Diaco spends goofing off increases, his grade is likely to decrease. When one variable increases and the other decreases, they have a negative correlation. Thus, the situation in this problem has a negative correlation.

If we sketch a scatter plot for this situation, notice that the time goofing off would be on the x-axis and Diaco's grade would be on the y-axis.

We can predict that if Diaco spends little or no time goofing off, his grade will be high and if he spends a lot of time goofing off, his grade will be low. Since this is only a sketch, it's not important exactly where our points are. Instead, we want to simply draw the points so our scatter plot has a line of best fit with a downward or negative slope.

The image for this correlation is the second attachment.

No correlation

The number of pets a family has and the number of kids in the family

Notice that in most cases, the number of pets a family has is not related to the number of kids in the family. Thus, there is no correlation between the number of pets a family has and the number of kids in the family.

If we sketch a scatter plot for this situation, notice that the number of pets a family has would be on the x-axis and the number of kids in the family would be on the y-axis.

Since there is no correlation between the variables, the data points will be spread out and there will be no best fit line.

The image for "no correlation" is the third attachment.