Answer: The slope is 1.5. The equation of the line is y=1.5x+3
Step-by-step explanation:
Slope is the "Rise" over the "Run" of a line. The rise is the change in y. The run is the cange in x. Take any two points. I picked (0,3) and (4,9) since they were clearly on whokle number lines. The rise is (9-3) or 6. The run is (4-0) or 4. Rise/Run = 6/4 or 1.5. The y intercept is at 3 (the value of y when x=0). The full line equation is thus y = 1.5x+3.
First, you would find the mean of the data. Once you have the number, you would find the difference between the mean and the other numbers. Once you have all of those numbers, you find the mean of that set. For example:
The mean of this set is 9. We then use this number to find the difference between all of the numbers. So 14-9= 5, 9-7=2, 9-6=3, 9-5=4, 13-9=4. Finding the mean of 5, 2, 3, 4, and 4 results in 18/5 or 3.6
3.6 is the mean absolute deviation.
This is what I get
You have to place the decimal numbers over the power of 10.since its 6 places to the right will be 10^6(1000000).
464646/1000000
Now cancel common factors by factoring out 2.
232323/500000=0.464646
Answer:
Mary bought 9 Golden Delicious apples
Step-by-step explanation:
This can be solved by setting up a system of equations. Based on the information given, the equations would be set up as follows.
I prefer to solve using substitution, but elimination can be used as well
We can now plug in this g value to the first equation
This means mary bought 13 delicious apples. She bought 22 apples in total, so the total number minus the amount of delicious apples will give us the amount of golden delicious apples.
22 - 13 = g
9 = g
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~`
<em>Let me know if you have any questions! Spread the love. </em>
Answer:
I) If method I is used, population of generalization will include all those people who may have varying exercising habits or routines. They may or may not have a regular excersing habit. In his case sample is taken from a more diverse population
II) Population of generalization will include people who will have similar excersing routines and habits if method II is used since sample is choosen from a specific population
Step-by-step explanation:
past excercising habits may affect the change in intensity to a targeted excersise in different manner. So in method I a greater diversity is included and result of excersing with or without a trainer will account for greater number of variables than method II.
