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Mazyrski [523]
3 years ago
8

Find the slope of the line below . Enter your answer as a fraction or decimal. Use a slash mark ( / ) as the fraction bar if nec

essary​

Mathematics
1 answer:
rusak2 [61]3 years ago
3 0

Answer:

\displaystyle m = 3

General Formulas and Concepts:

<u>Pre-Algebra</u>

Order of Operations: BPEMDAS

  1. Brackets
  2. Parenthesis
  3. Exponents
  4. Multiplication
  5. Division
  6. Addition
  7. Subtraction
  • Left to Right<u> </u>

<u>Algebra I</u>

  • Reading a coordinate plane
  • Coordinates (x, y)
  • Slope Formula: \displaystyle m = \frac{y_2-y_1}{x_2-x_1}

Step-by-step explanation:

<u>Step 1: Define</u>

<em>Find points from graph.</em>

Point (-4, -4)

Point (-2, 2)

<u>Step 2: Find slope </u><em><u>m</u></em>

Simply plug in the 2 coordinates into the slope formula to find slope <em>m</em>

  1. Substitute in points [Slope Formula]:                                                              \displaystyle m = \frac{2--4}{-2--4}
  2. [Fraction] Subtract:                                                                                           \displaystyle m = \frac{6}{2}
  3. [Fraction] Divide:                                                                                               \displaystyle m = 3
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Step-by-step explanation:

The <em>area</em> of a picture <em>is</em> 25 7/5 square inches.  If the width of the picture is 4 1/2 inches, what is the length?  <em>(A=(w)(l) </em>)

Assuming that your "25 7/5 square inches" is not a mistake, then this is equivalent to 26 2/5 square inches.

Converting 26 2/5 sq. in. to an improper fraction, we get 132/5 sq. in., which represents the area of the picture.  If the width is 4 1/2 inches, or 9/2 inches, then the length, l, is:

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Step-by-step explanation:

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There is a significant relationship between the regression variable and the dependent variable.

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The hypothesis for for the testing of coefficient β₂ are:

<em>H</em>₀: β₂ = 0 vs. <em>H</em>ₐ: β₂ ≠ 0

The test statistic is:

t=\frac{b_{2}}{S_{b_{2}}} =\frac{-1.249}{0.41}= -3.046

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There is a significant relationship between the regression variable and the dependent variable.

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