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Itália nos Jogos Olímpicos de Inverno de 1924 Comitê Olímpico Nacional Código do COI ITA Nome Comitato Olimpico Nazionale Italiano site oficial (em italiano) Jogos Olímpicos de Inverno de 1924 Sede Chamonix, França Competidores 23 em 4 esportes Medalhas Pos. n/d 0 0 0 0 Participações nos Jogos Olímpicos Verão 1896 • 1900 • 1904 • 1908 • 1912 • 1920 • 1924 • 1928 • 1932 • 1936 • 1948 • 1952 • 1956 • 1960 • 1964 • 1968 • 1972 • 1976 • 1980 • 1984 • 1988 • 1992 • 1996 • 2000 • 2004 • 2008 • 2012 • 2016 Inverno 1924 • 1928 • 1932 • 1936 • 1948 • 1952 • 1956 • 1960 • 1964 • 1968 • 1972 • 1976 • 1980 • 1984 • 1988 • 1992 • 1994 • 1998 • 2002 • 2006 • 2010 • 2014 • 2018

6 1 $begingroup$ I have a linear regression model for a dependent variable $Y$ based on two independent variables, $X1$ and $X2$ , so I have a general form of a regression equation $Y = A + B_1 cdot X_1 + B_2 cdot X_2 + epsilon$ , where $A$ is the intercept, $epsilon$ is the error term, and $B_1$ and $B_2$ are the respective coefficients of $X_1$ and $X_2$ . I perform a multiple regression with software (statsmodel in Python) and I get coefficients for the model: $A = a, B_1 = b_1, B_2 = b_2$ . The model also gives me $p$ values for each coefficient: $p_a$ , $p_1$ , and $p_2$ . My question is: What is the null hypothesis for those individual $p$ values? For example, to obtain $p_1$ I know that the null hypothesis entails a 0 coefficient for $B_1$ , but what about the other variables? In other words, I