Answer: 1.47 * 10^8
Step-by-step explanation:
First, let's add in standard form to avoid confusion
130,000,000
+17,000,000
------------------------
147,000,000
Since scientific notation expects the 1st base to be greater than 1 but less than 10, 147,000,000's first base in SCI notation should be 1.47.
Now to complete: 1.47 * 10^8
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Awe sorry no one responded quick enough... did u get it tho?
answer:
x=0 or x=4.732050807568877 or x=1.2679491924311228
Answer: YES! (Option A)
Reasoning:
• A bisector is a Geometric figure line or line segment that intersects a line or shape at the midpoint and divides it into 1/2 or a 1:1 ratio.
• Therefore, a perpendicular bisector is a bisector that intersects a Geometric figure at 90°.
• Because a bisector divides a figure into two equal parts, a perpendicular bisector splits a figure into two congruent parts with a 90° intersection.
• Therefore, with perpendicular bisector RT, segments UR and RS are congruent.
• So, segment UR = 17, which means that segment RS = 17 because the bisector splits it into two halves or congruent parts.
Answer:
C. A residual is the difference between the observed y-value of a data point and the predicted y-value on a regression line for the x-coordinate of the data point. A residual is positive when the point is above the line, negative when it is below the line, and zero when the observed y-value equals the predicted y-value.
Step-by-step explanation:
The residuals are obtained when there is some difference between the observed values and the fitted values of the data. Suppose we want to make a curve or hyperbola but the observed data does not actually give the curve required or there is some difference between the observed values and fitted values. The square of the sum of these differences is called residual.
The residual is positive when the point is above the line, negative when it is below the line, and zero when the observed y-value equals the predicted y-value.
Residual is obtained by subtracting the predicted value from observed value.This difference called the <u>residual</u> is
- positive when the observed value > predicted value
<em>For a positive value the point lies above the (fitted) line.</em>
- negative when the observed value < predicted value
<em>For a negative value the point lies below the (fitted) line.</em>
- zero when the observed value = predicted value
<em>For a zero value the point lies on the (fitted) line.</em>
Step-by-step explanation:
