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inna [77]
3 years ago
14

The cost of a product has been increasing each year. The graph shows data about the product's cost over time.

Mathematics
1 answer:
AveGali [126]3 years ago
7 0
By the way the costs have been going up in a diagonal line, it would be reasonable to predict that it would cost $14 in year 10.

A.
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HELP ASAP! LOOK AT PIC PLS
ra1l [238]

Answer:

E

Step-by-step explanation:

well, yes we know what coins there are and that they’re in jars right? but to find which jar is worth the most, we need to know how many coins are in each. she could have 300 pennies, 2 quarters, 4 dimes, and 7 nickels. we need more information to answer this question so E is the only correct option!

6 0
3 years ago
Drag the slider to 2 inches. How many centimeters are in 2 inches? There are centimeters in 2 inches.
choli [55]

Answer: 5


Step-by-step explanation: There are 2.5 cm per in, so its just 2.5*2


4 0
3 years ago
Read 2 more answers
Steve and Conner together have $60. Steve has $9 more than twice Conner’s amount. How much money does each have?
Lapatulllka [165]

Answer:

Step-by-step explanation:

let a=Ann's amt., b=Betty's amt.

a=2b+9

b+2b+9=60

3b+9-9=60-9

3b=51

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6 0
3 years ago
Pls help I dont understand this
s2008m [1.1K]

Answer:

D

Step-by-step explanation:

6 0
2 years ago
Read 2 more answers
For simple linear regression, y = β0 + β1x + u, which one of the following statements is true?
RSB [31]

Answer:

Option a) u is called the "error term". It is the error we make in prediction

Option d) x is called the independent variable because x is independent from y and u.

Step-by-step explanation:

We are given the following information in the question:

y = \beta_0 + \beta_1x + u

where y is the dependent variable, x is the independent variable.

\beta_0: It is the value of y when x is zero, that is y-intercept.

\beta_1: It is the coefficient of x in predicting the dependent variable y.

u is the error term.

  • An error term represents the margin of error.
  • It refers to the sum of the deviations within the regression line, that is the difference between the predicted value and the observed value of y.

Thus, Option A) u is the error term and Option D)  x is called the independent variable because x is independent from y and u are the correct answer.

6 0
3 years ago
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