Heteroscedastic residuals will have roughly the same variance for any value of X. Hence:
The correct option is C.
Hetero means that they are different/vary. Homoscedastic would mean that they do not change as the value of x changes.
When the variance of the residuals is uneven throughout a range of measured values, this is referred to as heteroskedasticity. The analysis results may be flawed if heteroskedasticity is present and the population employed in the regression has unequal variance.
One presumption regarding the residuals/errors in OLS regression is that they have the same, but unmeasured, variance. The term "constant variance" or "homoscedasticity" refers to this. Heteroscedasticity is the issue when this presumption is broken.
Hence we get the required answer.
Learn more about Homoscedastic here:
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Answer:
hey your answer would be 3x • (2x2 - 1)
please tell me if im wrong
Step-by-step explanation:
The probabability of winning on at least 1 bet is equal to 1 less the probaility of not winning on either of the 6 bets.
The probability of not wining on any bet is independent of winning or not winning on any of the bets, so the combined probability is calculated as the product of each individual probability.
Each indivitual probability of not winning the is:
(number of not winning outcomes) / (number of possible outcomes) = 37 / 38.
Then, the combined probability of not winning the six times is: (1/38)*(37/38)*(37/38)*(37/38)*(37/38)*(37/38) =(37/38)^6
Therefore, the probability of winning at least one bet is:
= 1 - (37/38)^6 ≈ 1 - 0.973684 ≈ 0.03.
Answer: 0.03.
Answer:
(15x- 20) x squared
Step-by-step explanation:
Answer:
3x6
(3)(6)
6+6+6
for represent the situation
Step-by-step explanation:
the dining room has 3 tables
and at each table there are 6 chairs so multiplication is the operation to use to find the total
therefore the other operations do not represent the situation
but 6+6+6 represents because it is also equal to 18
