Hi there! :)
Answer:
y = -2x + 3
Step-by-step explanation:
We can write an equation in slope-intercept form. Use the slope formula to find the rate of change in the table:

Plug in values from the table:

Simplify:
m = -2 (rate of change)
Use a point from the table (-2, 7) and the slope to solve for the equation for the linear function:
7 = -2(-2) + b
7 = 4 + b
7 -4 = b
b = 3
Rewrite:
y = -2x + 3 is the equation for the linear function.
Answer:
174 centimeters
Step-by-step explanation:
You take 150 and divide it by 10 which gives you 15. since you divide it by 10 and it gives you 15 that means ten percent is 15 centimeters. since we need to find out what the 16 percent is we take the 15 and divide that by 10 which gives us 1.5. That tells us every 1 percent, is 1.5 centimeters. you take the 150 and add 15 and that gives you 165. We have already done 10 percent out of the 16 percent . Now we have to figure out how much the rest of the 6 percent is so we take the 1.5 and multiply it with the 6 and we get a 9. That covers up for the rest of the 6 percent out of the 16 percent. Now we add 165 with 9 to get our answer of 174 centimeters.
Answer:
5760 grams
Step-by-step explanation:
Find the scale factor that A has been multiplied by to get B:
40.32/28 = 1.44
square root 1.44 to get the real sf:
√1.44 = 1.2
then divide 6912 by 1.2 to get the mass of A:
6912/1.2 = 5760 grams
hope this helps!
Step-by-step explanation:
the question answer a should be
The required boxplot isn't attached, an hypothetical solution is given which could be applied to solve your actual task.
Answer:
Kindly check explanation
Step-by-step explanation:
From the attached picture, the median and upper quartile value of the boxplot are :
The median of a dataset plotted on a box and whisker plot can be obtained directly from the plot as the point where a vertical line splits the box. The line inside the box gives the median of the data. The Q3 value which is the upper quartile is depicted on the box and whisker plot as the endpoint of the box. The endpoint of the box gives the upper quartile value for the dataset.
In the attached boxplot , the median = 29
The upper quartile = 38