Response:
the lower one
Detailed breakdown:
all exponential graphs are quite similar to that
The distance from point Y to the flag post measures 38.13 m. Step-by-step explanation: Assuming point Y is located at the intersection of both lines shown. Point X is positioned 34 meters east of point Y. The flagpole at point X is observed at a bearing of N18°W, meaning it creates an angle of 18° to the west from the north at point X. Conversely, at point Y, the flagpole has a bearing of N40°E, which makes a 40° angle towards the east from the north.
Considering ∆ AXY as a right triangle, the angle FXY is established. Then, concerning ∆ BYX as another right triangle, the angle FYX is also determined. To find the third angle ∠YFX in triangle FYX, the angle sum property of triangles can be applied:
∠YFX + ∠FYX + ∠FXY = 180°
Thus, we have: ∠YFX + 50° + 72° = 180° leading to ∠YFX = 58°.
Now we can calculate the distance FY using the sine rule.
Answer:
(C) They have the same coefficient of variation
Step-by-step explanation:
The coefficient of variation (CV) is calculated using the formula:
Where 
represents standard deviation and 
represents the mean.
Bob's average weight is 200 pounds with a standard deviation of 16 pounds
This indicates that 
.
Thus, his coefficient of variation is
Mary's average weight is 125 pounds, with a standard deviation of 10 pounds.
This implies 
Therefore, her coefficient of variation is
Since both have the same coefficient of variation, the accurate response is.
(C) They have the same coefficient of variation
Answer:
Step-by-step explanation:
The given formula doesn't appear to match any of the answer choices.
W = (P/2) - L
Answer:
The regression line is not an appropriate model due to the existence of a pattern in the residual plot.
Step-by-step explanation:
A residual plot has been provided for a certain data set.
The residual plot indicates a scatter relationship between x and y.
The plotted points demonstrate that a linear relation is unlikely; it appears to be more parabolic or exponential in nature.
This suggests the regression line is not a suitable model as the residuals do not converge towards 0.
Additionally, a linear trend pattern is absent.
D) The regression line is not a suitable model as it exhibits a pattern in the residual plot.
