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EastWind [94]
3 years ago
6

Your bike lock has 3 digits numbered 0 through

Mathematics
1 answer:
KATRIN_1 [288]3 years ago
8 0
I think the answer is 81
You might be interested in
Please help and thank you
bogdanovich [222]

they are the same so set them equal

3x-10=2x+40 now combine like terms

3x-2x=40+10

x=50

8 0
3 years ago
Read 2 more answers
A gallon of paint covers 1 1/3 walls. How many gallons does it take to cover 1 wall? How about 3 walls?
Alekssandra [29.7K]

Answer:

1 wall is 0.75 gallons. 3 walls is 2.25 gallons.

Step-by-step explanation:

if 1 gallon covers 1 1/3 wall, divide 1/1.3333 = 0.75

multiply 0.75(1 wall) by 3.... 0.75×3=2.25

6 0
3 years ago
To get a free meal at his favorite restaurant, Tom needs to spend $50 or more at the restaurant. He has already spent $30.25. Ho
MrRissso [65]

Answer:

50-30.25=19.75

Step-by-step explanation:

5 0
3 years ago
2950 - 125 - 50 =<br> I dont resly understand
Masja [62]

Answer:

2950 - 125 - 50 \\ =  2950 - (125 + 50) \\  = 2950 - 175 \\  =  \boxed{2775}

<h3><u>2775</u> is the right answer.</h3>
7 0
3 years ago
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x overbarequals100.
LenaWriter [7]

Answer:

\hat y = -3.34+ 1.07(91) = 94.03

Step-by-step explanation:

Data given

n=20 represent the sampel size

\bar X = 100.39 represent the sample mean for the independent variable (IQ score of the husband)

\bar y = 103.6 represent the sample mean for the dependent variable.

r =0.925 represent the correlation coefficient

Solution to the problem

The general expression for a linear model is given by:

y = \beta_0 + \beta_1 x

Where \beta_0 is the intercept and \beta_1 the slope

For this case we have a linear model given by the following expression:

\hat y = -3.34 +1.07 x

Where -3.34 is the intercept and 1.07 the slope. In order to find the best predicted value when X = 91 we just need to replace into the equation the value of 91 and we got this:

\hat y = -3.34+ 1.07(91) = 94.03

On this case is the best predicted value because E(\hat y) = y we have an unbiased estimator.

8 0
3 years ago
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