When the average daily temperature in New York City decreases, the number of persons who are observed wearing sweaters in the workplace increases, this implies a<u> </u><u>negative correlation.</u>
Negative correlation simply means the relationship between two variables where as one variable increases, the other variable will reduce.
Therefore, in a situation where the average daily temperature in New York City decreases and the number of persons who are observed wearing sweaters in the workplace increases, this illustrates a negative correlation.
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Answer:

Step-by-step explanation:
Comparing it with quadratic equation  , we get:
, we get:
a = 1 . b = 4 and c = 5
So,
Discriminant = 
D = (4)²-4(1)(5)
D = 16 - 20
D = -4
Hence,
Discriminant = -4
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Hope this helped!
<h3 /><h3>~AH1807</h3>
 
        
             
        
        
        
Answer:
The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean  and standard deviation
 and standard deviation  , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean  and standard deviation
 and standard deviation  .
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For the population, we have that:
Mean = 0.5
Standard deviaiton = 0.289
Sample of 12
By the Central Limit Theorem
Mean = 0.5
Standard deviation 
The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.
 
        
             
        
        
        
The answer is C. 0.0 1339
        
             
        
        
        
Answer:
   29
Step-by-step explanation:
Put x=0 into the function and do the arithmetic.
   h(0) = 29(5.2)^0 = 29(1)
   h(0) = 29 . . . . the y-intercept