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In practice, Line of best fit or regression line is found when . . . . . . . .

In practice, Line of best fit or regression line is found when . . . . . . . . Correct Answer Sum of the square of residuals ( ∑ (Y-h(X))2) is minimum

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In practice, Line of best fit or regression line is found when _____________
Given below are two premises (A and B). Four conclusions are drawn from them. Select the code that states validly drawn conclusion(s) (taking the premises individually or jointly). Premises : (A) Most of the dancers are physically fit. (B) Most of the singers are dancers. Conclusions : (a) Most of the singers are physically fit. (b) Most of the dancers are singers. (c) Most of the physically fit persons are dancers. (d) Most of the physically fit persons are singers
In the following question, the 1st and the last part of the sentence/passage are numbered 1 and 6. The rest of the sentence/ passage is split into four parts and named P, Q, R and S. These four parts are not given in their proper order. Read the sentence/ passage and find out which of the four combinations is correct. 1. Hinduism is the primary religion of Nepal, and the religion holds strong taboos regarding menstruation. P. Living in these huts puts women at risk for poisoning, suffocation, hypothermia, wild animal attacks, snake bites, and sexual assault.  Q. The women are also barred from touching a large list of items, are supposed to eat frugally, and cannot meet people or venture out. R. One such practice is chhaupadi, in which menstruating women are banned from their homes and family activities and required to live in makeshift spaces known as menstrual huts.  S. Though outlawed by the Nepalese government in 2005, the custom still prevails in western regions of the nation, where communities fear misfortune if the practice isn’t adhered to. 6. Though the practice was outlawed in 2005, a teenage girl, a woman and her 2 sons, and now Rawat, have died due to the practice in 2019 alone, sparking national outrage and an official parliamentary investigation in Nepal.
Which of the following reasons led to the setting aside of the practice of 'talaqe- biddat', triple talaq in Shayara Bano v. Union of India, (2017) 9 SCC 1?
(1) Section 2 of the Muslim Personal Law (Shariat) Application Act, 1937 was a pre-constitutional legislation within the meaning of Article 13(1) and violative of Article 14 of the Constitution of India on the ground of arbitrariness.
(2) Section 2 of the Muslim Personal Law (Shariat) Application Act, 1937 was a pre-constitutional legislation within the meaning of Article 13(1) and violative of Article 15 of the Constitution of India, being discriminatory.
(3) Muslim Personal Law (Shariat) Application Act, 1937 is not a law regulating triple talaq but the practice of triple talaq was against the basic tenets of the Holy Quran and no practice against the tenets of Quran was permissible.
(4) 'Talaq-e-biddat' is integral to the religious denomination but the Supreme Court may injunct this practice as a means for severing matrimonial relationship.
Which of the following statements is false?  1. When value of correlation coefficient is one, the two regression lines coincide 2. The regression coefficients are independent of the change of origin and of scale 3. The sign of the regression coefficients are always the same 4. The square of the coefficient of correlation is called coefficient of determination 
Assertion (A): If regression coefficient of X on Y is greater than one, regression coefficient of Y on X must be less than one.
Reason (R): The geometric mean between two regression coefficients is the coefficient of correlation.
What is/are true about ridge regression?
1. When lambda is 0, model works like linear regression model
2. When lambda is 0, model doesn't work like linear regression model
3. When lambda goes to infinity, we get very, very small coefficients approaching
04. When lambda goes to infinity, we get very, very large coefficients approaching infinity.
Assertion (A): If regression coefficient of X on Y is greater than one, regression coefficient of Y on X must be less than one.
Reason (R): The geometric mean between two regression coefficients is the co-efficient of correlation.
On the basis of the above, choose the appropriate answer :
In a linear regression problem, we are using "R-squared" to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model. Which of the following option is true?
Suppose we fit "Lasso Regression" to a data set, which has 100 features (X1,X2...X100). Now, we rescale one of these feature by multiplying with 10 (say that feature is X1),  and then refit Lasso regression with the same regularization parameter. Now, which of the following option will be correct?