Yes, the line can be used to make reasonable predictions of the number of cheese pizzas that would be sold in the upcoming weeks. This is because the line is the line of best fit
<h3>Line of best fit </h3>
From the question, we are to determine if the line can be used to make reasonable predictions of the number of cheese pizzas that would be sold in the upcoming weeks
In the graph, we have a scatterplot.
The line drawn is the <u>line of best fit</u>
Hence,
Yes, the line can be used to make reasonable predictions of the number of cheese pizzas that would be sold in the upcoming weeks. This is because the line is the line of best fit.
Learn more on Line of best fit here: brainly.com/question/1564293
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Answer:
$5.08
Step-by-step explanation:
Step one:
given data
We are told that a credit card company applies a 6% fee on all transactions under $10
since the cost of coffee bellow $10 that is $4.80, the 6% fee is applicable
so
=6% of 4.80
=6/100*4.80
=0.06*4.8
=$0.288
Step two:
the total fee will be
=0.288+4.80
= $5.08
Step-by-step explanation:
- 0.06
- 60%
- 2/3
- 3/4
hope it's right :)
Answer: just follow these simple steps!
Step-by-step explanation:
1. Estimate the quotient.
2. Perform the division. Remember to place a zero in the quotient when the divisor is larger than the dividend. ...
3. Compare your estimate with your quotient to verify that the answer makes sense.
Total units would be: 4+7 = 11
value of 1 unit = 44/11 = 4
Ratio would be: 4(4) & 7(4) = 16 & 28
