analysis.fit_linear_regression doesn't work with 1d arrays

e.g.
```
IndexError Traceback (most recent call last)
Input In [249], in ()
64 target_location = df['target_location']
65 error_trials = np.array([compute_movement_stats(t, p[:2])[3] if np.count_nonzero(p[:2]) else np.nan for t, p in zip(cursor_traj, target_location)])
---> 67 slope, intercept, corr_coefficient = aopy.analysis.base.fit_linear_regression(n_saccade[all_trials], error_trials[all_trials])
68 print(slope)
69 print(corr_coefficient)

File ~/leo/analyze/aopy/analysis/base.py:313, in fit_linear_regression(X, Y, coefficient_coeff_warning_level)
310 # Make sure the same shape
311 assert X.shape == Y.shape
--> 313 n_columns = X.shape[1]
315 slope = np.empty((n_columns,))
316 intercept = np.zeros((n_columns,))

IndexError: tuple index out of range
```