0
4
© -12.5
0 0.454545...
Answer: 4
Step-by-step explanation: 4 is the answer because an integer is any whole number, but not 0.
y = 3.4x + 43
According to the model, how many more pizzas are sold for each additional coupon issued?
1 pizzas
3.4 pizzas
4.3 pizzas
43 pizzas
46 pizza
Answer:
B. 3.4 pizzas.
Step-by-step explanation:
We have been given a scatter plot, which represents the number of pizzas (y) sold during weeks when different numbers of coupons (x) were issued. The equation represents the linear model for this data:
We can see that our given equation is in form of slope intercept form: , where m= slope of line and b = y-intercept.
We can see from our given equation that y-intercept is 43, when no coupons were issued, there were 43 pizzas sold. 43 is constant and it will not change by any change in x.
The slope of our line is 3.4, which represents change in number of pizzas with respect to change in number of coupons issued. Therefore, 3.4 more pizzas are sold for additional coupon issued and option B is the correct choice.
Answer: B. 3.4
Step-by-step explanation:
We have been given a scatter plot, which represents the number of pizzas (y) sold during weeks when different numbers of coupons (x) were issued. The equation represents the linear model for this data:
We can see that our given equation is in form of slope intercept form: , where m= slope of line and b = y-intercept.
We can see from our given equation that y-intercept is 43, when no coupons were issued, there were 43 pizzas sold. 43 is constant and it will not change by any change in x.
The slope of our line is 3.4, which represents change in number of pizzas with respect to change in number of coupons issued. Therefore, 3.4 more pizzas are sold for additional coupon issued and option B is the correct choice.
Answer: c
Step-by-step explanation:
The sample is biased. The sample does not include shoppers at the grocery store.
The sample is biased. The sample does not include customers who shop there on days other than Monday.
The sample in not biased. It is a random sample.
The sample is not biased. It fairly represents the population.
Let us assume number of boots pairs were on display originally = x.
We are given 2/9 of the total boots pairs we sold.
So, 2/9 of x boots pairs were sold, that is
Number of boots pairs were sold = 2/3 x.
Number of boots pairs brought out from store = 34.
Remaining pairs of boots = 174 pairs.
So, we can setup an equation,
Total number of boots pairs - First number of boots pairs sold + number of boots pairs brought out from store = Remaining pairs.
x - 2/9 x +34 = 174.
Subtracting 34 on both sides, we get
x - 2/9 x = 34-34 = 174-34
x- 2/9 x = 140 .
Simplifying left fracions by taking common denominator,
9/9 x- 2/9 x = 140
(9x-2x)/9 = 140.
7/9 x = 140.
Multiplying both sides by 9.
9* 7/9 x = 9*140.
7x = 1260.
Dividing both sides by 7.
7x/7 = 1260/7
x= 180.
Therefore, 180 pairs were on displayed originally.