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3 years ago

Scientific notation of a length of 0.0000923

Mathematics

2 answers:

solong [7]3 years ago

8 0

The answer is ___ but only because ____ it was quite challenging not gonna lie

Tju [1.3M]3 years ago

5 0

Answer:

9.23 x 10^-5

Step-by-step explanation:

But the decimal point behind the first number that isn't 0

Then count how many times you moved it and that is the exponent on the ten

If you moved the decimal right, it is negative exponent

If you moved the decimal left, it is a positive exponent

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3 years ago

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4 years ago

Read 2 more answers

A college job placement office collected data about students’ GPAs and the salaries they earned in their first jobs after gradua

frez [133]

Answer:

X is the GPA

Y is the Salary

Standard deviation of X is 0.4

Standard deviation of Y is 8500

E(X)=2.9

E(Y)=47200

We are given that The correlation between the two variables was r = 0.72

a) $y = a+bx$

$b = \frac{\sum(x_i-\bar{x})(y_i-\bar{y})}{\sum(x_i-\bar{x})^2} = \frac{r \times \sqrt{var(X) \times Var(Y)}}{Var(X)} = \frac{0.72 \times \sqrt{0.4^2 \times 8500^2}}{0.4^2} = 15300$

$a=y-bx = 47200-(15300 \times 29) = 2830$

So, slope = 15300

Intercept = 2830

So, equation : $y = 2830+15300x$

b) Your brother just graduated from that college with a GPA of 3.30. He tells you that based on this model the residual for his pay is -$1880. What salary is he earning?

$y = 2830+15300 \times 3.3 = 53320$

Observed salary = Residual + predicted = -1860+53320 = 51440

c)) What proportion of the variation in salaries is explained by variation in GPA?

The proportion of the variation in salaries is explained by variation in GPA = $r^2 = (0.72)^2 =0.5184$

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3 years ago