A] From the graph, there is strong correlation between the satisfaction score and salary, this is implied by the closeness of the points on the graph.
b] Given that Hilda use the function y=0.0005x +60 to model the relationship, the score for $65000 will be given as follows;
y=0.0005(65000)+60
y=92.5
The number 0.0005 shows the rate of change of job satisfaction with salary
Area of rectangle = l*w
Area of triangle = (1/2)*l*w
Based on the figure:
Area of triangles = 2*(1/2)*l*w
= 2*(1/2)*24*14 = 336 cm^2
Area of side rectangles = 2*l*w
= 2*44*25 = 2200 cm^2
Area of bottom rectangle = l*w
= 44*14 = 616 cm^2
To find the total surface area, you would add all of the sides together:
336+2200+616= 3152 cm^2
Don’t be afraid to ask any questions, if you have any :D
Answer: I think it would be 30 ft
Step-by-step explanation: You would do LxW and get the anwer.
A statement which best describes the strength of the correlation, and the causation between the variables is that: D. it is a strong positive correlation, and it is likely causal.
<h3>What is a positive correlation?</h3>
A positive correlation can be defined as a terminology that is used to described a scenario (situation) in which two variables move in the same direction and are in tandem.
This ultimately implies that, a positive correlation exist when two variables have a linear relationship or are in direct proportion. Hence, when one variable increases, the other increases as well, and vice-versa.
By critically observing the scatter plot (see attachment) which models the data in the given table, we can infer and logically deduce that the value on the y-axis (circumference) increases as the value on the x-axis (radius) increases, so this is a strong positive correlation.
Also, we know that there exist a direct relationship between the circumference of a circle and its radius, so this relationship is most likely causal.
In conclusion, a statement which best describes the strength of the correlation, and the causation between the variables is that it's a strong positive correlation, and it is likely causal.
Read more on positive correlation here: brainly.com/question/10644261
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Not a solution I believe.