Could someone explain this to me? i'm really confused

the scatter plot below shows the number of pizzas sold during weeks when different numbers of coupons were issued. the equation represents the linear model for this data.

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

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.

idk i would have to be there to under stand it

step-by-step explanation:

idk i would have to be there to under stand it

a

step-by-step explanation: