The null hypothesis to test the significance of the slope on a regression equation is that the slope is equal to zero.
Given that we have to test the significance of slope in a regression equation.
Equation is relationship between two or more variables that are expressed in equal to form.Equation of two variables look like ax+by=c. It may be a linear equation, quadratic equation, cubic equation or many more depending on the powers of the variable present in that equation.
Slope is basically a number which indicates the direction of the line.
Null hypothesis is a statement which is tested for its validity and it is nothing but opposite of the result we want.
The standard regression equation be y=mx+c and in this m is slope of the equation.
The line depends on the slope because if it is zero then the value of y becomes zero. So, the null hypothesiss is that the slope is equal to zero.
Hence the null hypothesis to test the significance of the slope on a regression equation is that the slope is equal to zero.
Learn more about slope at brainly.com/question/3493733
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The logarithm that equates to is
Answer:
7) no 8) no 9) no 10)yes 11) yes 12) yes 13) k=42 14) c=30 15)a=42
Step-by-step explanation:
Answer:
-7/8
Step-by-step explanation:
The formula for slope is [ y2-y1/x2-x1 ].
11-(-3)/-14-(-2)
14/-16
-7/8
Best of Luck!
Domains - (4,7,0,7,4)
Ranges - (-8, 7, -8, 1, 8)