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deff fn [24]
3 years ago
15

How many quarts in a gallon

Mathematics
2 answers:
sukhopar [10]3 years ago
7 0
4 quarts are in a single gallon
sertanlavr [38]3 years ago
4 0
4 quarts are in a gallon
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Ezra counts the number of passengers who are already on the bus when he gets on each morning. His data for the last 15 days are
Rom4ik [11]

Answer:

6

Step-by-step explanation:

The data is

8,9,9,10,12,12,13,14,15,15,15,16,18,19,20

There are 15 data points

The median is the 15/2 = 7.5  rounding to 8

The 8th data point

8,9,9,10,12,12,13,    14,     15,15,15,16,18,19,20

Take the 7 points on the left and divide  in half

Take the 7 points on the right and divide  in half

8,9,9,   10   ,12,12,13,    14,     15,15,15,   16,    18,19,20

The interquartile range is the middle of the upper half of the data minus the middle of the lower half of the data

16 - 10 = 6

5 0
3 years ago
Which is greater, 8(with a exponent of 6) or 12(with a exponent of 6)? Explain how you can tell without finding their values.
navik [9.2K]

Answer:

12 with the exponent of 6 becuz 12 is bigger than 8

8 0
3 years ago
In a study relating the degree of warping, in mm, of a copper plate (y) to temperature in °C (x), the following summary statisti
kipiarov [429]

Answer:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

Step-by-step explanation:

Linear regression is a way "to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables)".

Regression estimates are "used to describe data and to explain the relationship between one dependent variable and one or more independent variables"

The linear model is given by the following equation Y=mx +b, where y is the dependent variable, x the independent variable, m the slope and b the intercept.

For this case we have the following info given:

\sum_{i=1}^n (x_i -\bar x)^2 =98775

\sum_{i=1}^n (y_i -\bar y)^2 =19.4

\bar x =26.36

\bar y =0.5188

n= 40  represent the sample size

\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y) =796.94

The total sum of squares is given by this formula:

SST= \sum_{i=1}^n (y_i -\bar y)^2 =19.4

And from the formulas for a simple regression, we need to calculate the slope for the regression like this:

m=\frac{\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)}{\sum_{i=1}^n (x_i -\bar x)^2}

And if we replace the values given we have:

m=\frac{796.94}{98775}=0.008068

We have another useful equation in order to find the sum of squares for the regression, given by:

SSR=m* \sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)=0.008068*796.94=6.430

And we know this equivalence:

SST= SSR+SSE

And solving for the sum of squares for the error we have:

SSE=SST-SSR=19.4-6.430=12.97

So then we have the final solutions:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

6 0
3 years ago
What is the square root of negative four
Dmitry [639]
The square root of negative four is 2
3 0
3 years ago
Estimate the value of 9.9 power of 2 x 1.79 <br> pls some one help me
dybincka [34]

Answer:

The correct answer is 175.4379

Step-by-step explanation:

(9.9)^2 • 1.79

=98.01 • 1.79

=175.4379

3 0
3 years ago
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