Answer:hi i am breanna
Gun ownership was a significant predictor of firearm homicide rates ... not determine causation, we found that states with higher rates of gun ownership had ... of no multiyear studies of interstate variation in gun ownership and homicide rates ... it is feasible and useful to study the relationship between gun availability
Step-by-step explanation:
Several studies have examined the relationship between homicide victims .... no annual survey assessed the prevalence of household firearm ownership in ... identified as related to homicide rates and might also be related to firearm
Y = 2/3x - 2....the y int here is -2
and u want a line with a slope of -2/3 and a y int of -2...
y = -2/3x - 2.....so u have a slope of -2/3 (means ur line is decreasing)....and a y int of -2...means ur line crosses the y axis at (0,-2)
ur x int can be found by subbing in 0 for y and solving for x
0 = -2/3x - 2
2/3x = -2
x = -2 * 3/2
x = - 3.....and u have an x int(where ur line crosses the x axis) at (-3,0)
so ur graph for this is : the 4th graph...the last one
Answer:
B. No, this distribution does not appear to be normal
Step-by-step explanation:
Hello!
To observe what shape the data takes, it is best to make a graph. For me, the best type of graph is a histogram.
The first step to take is to calculate the classmark`for each of the given temperature intervals. Each class mark will be the midpoint of each bar.
As you can see in the graphic (2nd attachment) there are no values of frequency for the interval [40-44] and the rest of the data show asymmetry skewed to the left. Just because one of the intervals doesn't have an observed frequency is enough to say that these values do not meet the requirements to have a normal distribution.
The answer is B.
I hope it helps!
