Update src_Python3_challenger_Python_org_TM.org, src_Python3_challenger_Python_org_TM.pdf files

Deleted src_Python3_challenger_Python_org.org, src_Python3_challenger_Python_org.pdf files

src_Python3_challenger_Python_org.org → src_Python3_challenger_Python_org_TM.org

@@ -233,9 +233,7 @@ print(data)
 22    1/12/86      6           58       200            1
 #+end_example
 
-** Remark                                                          :noexport:
-   here I had to change the url, the proposed url was not raw and
-   tried to download the html.
+
 
 We know from our previous experience on this data set that filtering
 data is a really bad idea. We will therefore process it as such.
@@ -294,10 +292,7 @@ Temperature    -0.1156      0.115     -1.004      0.316      -0.341       0.110
 ===============================================================================
 #+end_example
 
-** Remark                                                          :noexport:
-   I changed the code in the last cell because statsmodel API
-   changed. Now the link function has to be called before being given
-   as argument.
+
   
 The maximum likelyhood estimator of the intercept and of Temperature
 are thus *$\hat{\alpha}$ = 5.0850* and *$\hat{\beta}$ = -0.1156*. This *corresponds*
@@ -341,8 +336,6 @@ Temperature    -0.1156      0.047     -2.458      0.014      -0.208      -0.023
 ===============================================================================
 #+end_example
 
-** Remark                                                          :noexport:
-   I changed the code in the last cell because statsmodel API. 
 
 Good, now I have recovered the asymptotic standard errors
 *$s_{\hat{\alpha}}$ = 3.052* and *$s_{\hat{\beta}}$ = 0.047*. The Goodness of fit